Research Positions in Pediatric Precision Imaging
Children’s National Health System
The Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Health System has openings for research positions in pediatric precision and quantitative imaging. Located on the top floor of the pediatric specialty hospital, the Institute houses one of the most dynamic pediatric bioengineering research sites. We are based in the exciting capital city of Washington DC with endless options for culture, entertainment and great food.
Positions are available at the level of postdoctoral fellow and/or staff scientist based on the applicant’s experience. The candidates will work in a team that includes geneticists, radiologists, surgeons, computer scientists and biomedical engineers to conduct research and development on medical image analysis, pattern recognition and artificial intelligence. For a selection of publications by our team, please see https://sites.google.com/site/mglinguraru/publications.
Positions are available in two of our research areas:
· detection of genetic syndromes using facial analysis and artificial intelligence
· deep neural networks for quantitative medical image analysis
Candidates should have a Ph.D. or equivalent research experience in the areas of computer vision and machine learning evidenced by peer reviewed publications. Other required qualifications are strong programming and good communication skills. We offer competitive salary, personalized visa options for international applicants, and opportunities for professional growth.
To apply, please email your CV and other supporting material to Dr. Marius George Linguraru (mlingura@childrensnational.org).
Link:
https://childrensnational.org/research-and-education/sheikh-zayed/research-laboratories/precision-medical-imaging-laboratory
Postdoc associate positions
The Hong Kong University of Science and Technology
Multiple postdoctoral associate positions in Radio genomics, genomics, or computational proteomics are available at the Hong Kong University of Science and Technology. Please check https://eeyu.home.ece.ust.hk/PhD_postdoc_position.htm for detail. The starting date is August 1st,2019 or later.
Link:
None
Senior Image Data Scientist
St.Jude Children’s Research Hospital
St. Jude Children’s Research Hospital is looking to fill the position of Senior Image Data Scientist to join its new Center for Bioimage Informatics. St. Jude has invested in cutting-edge imaging technology to address some of the toughest challenges in biomedical research facing the world today. These new technologies enable insights into biomedical systems that have traditionally been inaccessible, and produce multidimensional, complex and large image data. You will join a dynamic image analysis team in St. Jude’s fast-paced research environment to analyze this data and develop innovative solutions for a broad spectrum of biomedical imagery. Responsibilities • Develop algorithms, computer vision techniques and image data analysis pipelines utilizing a variety of existing and custom software libraries • Consult with St. Jude researchers and staff to exploit the full potential of image analysis in propelling individual experiments and research projects forward • Work collaboratively on image analysis software development with other data scientists and software engineers, observing highest software engineering standards • Deploy algorithms in an HPC context and optimize for accuracy and speed • Consult with and train research staff as needed.
Experience in independent image analyses and image data management is required. Experience in programming with at least two established programming languages (e.g. Python, R, Matlab, Java, C/C++). Experience in and the ability to communicate clearly and consult with a wide range of users and colleagues is required. • Experience in using established image analysis platforms.
Link:
None
PhD / Post-doc positions for MR image analysis in the Rhineland Study
DZNE
We are looking for enthusiastic and ambitious researchers to join our group within the area of Population Imaging and MRI image analysis. Positions are available at the pre- or post-doctoral level, depending on the experience of the candidate. We welcome candidates to work across multiple MRI modalities.
Contact us if you want to join a multi-disciplinary team composed of epidemiologists, radiologists, image analysis experts, IT and other data scientists.
If you are interested, contact us via e-mail (monique.breteler@dzne.de; gerard.sanroma-gueell@dzne.de), or better directly via the conference app to arrange for an on-site meeting.
Further information: At the department of Population Health Sciences at the German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany (https://www.dzne.de/en/research/research-areas/population-health-sciences/), we aim to identify determinants and biomarkers of normal and pathological mental and physical health function over the adult life course. The research is led by Prof. Monique M.B. Breteler and is primarily based on data from the Rhineland Study - a huge prospective cohort study incorporating up to 30,000 people from the Bonn area. Brain imaging is an essential part of the data collection, which includes state-of-the-art anatomical, functional and structural connectivity sequences in the whole brain with high isotropic resolution. Further examinations include (1) cognitive and behavioral assessments, (2) cardiovascular investigations, (3) sensory systems assessments, (4) as well as an extensive collection of biomaterials and questions on medical history, medication intake, life style, nutrition and mental health.
Link:
https://www.dzne.de/en/research/research-areas/population-health-sciences/
Sr. Research Scientist, AI on Medical Imaging
UII
UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) was established on December 21, 2017. It is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-part companies to win. UII America is building a world-class research and development team in Cambridge, MA. We are looking for multiple levels of AI researchers who can strengthen our R&D assets in Artificial Intelligence, especially on Medical Imaging and Healthcare data. The successful candidate will approach technical challenges enthusiastically, exhibit a strong desire to learn and apply new technologies to accomplish exciting tasks. He will show a proven ability to work on challenging and practical problems of medical imaging or other types of Healthcare datasets together with a talented R&D team.
Main Responsibilities
Research and develop AI and Deep Learning algorithms;
Extend and improve company's existing DL algorithms and libraries;
Work closely with colleagues and management to develop company assets in AI and DL;
Conduct cutting-edge research and transfer research results into practical Healthcare solutions;
Establish strong relationship with potential customers and clinical partners;
Collaborate with other team members and contribute to a nice team-working environment;
Be ambitious to lead the changes in future Healthcare with innovations;
Link:
https://usa.united-imaging.com/career/sr-research-scientist-ai-on-medical-imaging/
Postdoc biomedical image analysis
University Paris
Postdoc at ceremade university Paris Dauphine PSL,
in collaboration with hospital In Paris
On image analysis with application to retinal images.
Image segmentation, Tracking an modeling of a deformation
For more details we can discuss at ISBI.
Link:
None
Assistant professor
Symbiosis international university
Symbiosis Center for medical image analysis focuses on problems in medical image reconstruction, computational imaging, image processing and analysis of medical images. We work closely with the Symbiosis hospital and research center where we have a research grade 3T MRI with open keys, CT and a complete radiology department.
The candidate must have a PHD in computer science, physics, biomedical engineering or electronics engineering with a proven research record. Pls contact for more information.
Link:
None
Postdoc - AI for Medical Image Analysis
CSIRO
Join a large project between a university (QUT), The CSIRO (Australia research organisation), radiologists, and a startup (Maxwell+) to work on fast implementation of non linear registration and segmentation using machine learning.
Application to neuroimaging (PET and MRI), with extension to other applications.
Competitive remuneration, scientific excellence, supportive environment, outstanding quality of life.
Link:
https://sites.google.com/csiro.it/icvatcsiro/home
Postdoctoral position: Mutlimodal microstructure-informed connectivity
Inria
Multimodal Microstructure-Informed Connectivity: Acquisition, Reconstruction, Analysis and Validation – postdoc for a 12-24 months period, for more info visit jobs.inria.fr
The main objective of this project is to develop novel methods for the quantification of microstructure properties in brain tissues using diffusion MRI and relaxometry, in relation with the macrostructure organization of the brain connectome. The recruited postdoc will focus on one or a combination of the following work packages:
1. Acquisition design in microstructure-enabled diffusion MRI using compressive sensing
2. Combining relaxometry and diffusion
3. Analyzing the microstructure-informed brain connectome
4. Validating microstructure and connectivity reconstruction using simulations and reproducibility analysis.
For a detailed scientific description of the project, we invite the interested candidate to visit the webpage of the MMINCARAV associate team.
The candidate will develop novel scientific methods to address the objectives of the MMINCARAV project and propose an experimental setup to validate these methods, for which he will have an opportunity to acquire in vivo images on the Neurinfo platform. In the context of this collaborative research project, the recruited person will be in contact with the LTS5 team from EPFL, our international partner in this project.
We are seeking a candidate with a strong background in applied mathematics; high Python and C/C++ proficiency is also required. Besides, we are expecting good written and spoken communication skills in English.
If you are interested in this postdoctoral position, you can contact me and we can meet during the conference.
Link:
https://jobs.inria.fr/public/classic/fr/offres/2019-01453
PhD position
INRIA
Multimodal analysis of neuroimaging and transcriptomic data in genetic fronto-temporal dementia
Deep Learning Algorithm Researcher
IMSIGHT TECHNOLOGY CO., LIMITED
Responsibilities:
1. Responsible for research and development of deep learning detection and segmentation algorithm, lead algorithm team for R & D projects and key technical challenges, including setting up technical plan, providing corresponding technical guidance, tracking project progress and evaluating project effect;
2. Follow up the development trend of industry frontier technology, track the latest international algorithm development direction and corresponding technology
3. Follow up and understand the latest research trends in medical images and deep learning, research and screen valuable results, and promote application in conjunction with relevant research and development projects.
4. Participate in the declaration of scientific research projects and encourage the publication of high-quality image processing papers.
Requirements:
1、 Ph.D. or above, a computer related major, proficient in or familiar with machine learning related algorithms
2、 with strong programming skills, skilled use of deep learning tools TensorFlow, PyTorch, Caffe, Theano, etc.
3、with computer vision, image processing, deep learning algorithms to achieve relevant project experience
4、 Paper published in the top conferences or magazines related to deep learning, such as MICCAI, CVPR, NIPS, TMI, MedIA, etc. is preferred
5、 With strong innovation and independent research and development ability
Link:
None
Deep Learning & Computer Vision Engineer
IMSIGHT TECHNOLOGY CO., LIMITED
Imsight Medical Technology Co. Ltd. is a start-up company with the original core technology accumulation, driven by artificial intelligence deep learning technology, focus on medical imaging intelligent analysis. Currently, Imsight has three major products under development includes radiological imaging assisted diagnosis, radiotherapy target mapping and pathological (cytological, histological) imaging assisted diagnosis. The R&D leaders consist of professor and PhDs from CUHK and HKUST, who has plenty of experience in medical imaging computing field, Imsight R&D team is from CUHK, HKUST, HKU, ANU, Tsinghua University, Beihang, SJTU and other top universities from home and abroad. In the feild of medical imaging processing, Deep learning algorithms, medical clinical research and so on, Imsight R&D team have a lots of practical experience.
In China, Imsight has reached strategic cooperation with more than 50 top three hospitals such as Beijing Union Hospital, Huaxi Hospital of Sichuan University, affiliated tumor Hospital of Zhongshan University and Shanghai Tongji Hospital.
2018, Imsight plans to deploy products in more than hundred hospitals, and vigorously develops the overseas market simultaneously. Imsight has completed the 60 million-A-round financing from Shenzhen Venture investment, Imsight also get HKD 1M support from Hong Kong Innovation and Technology Commission, and 20M from Lenovo investment. At present, Imsight set up R&D centres in Hong Kong, Shenzhen, Beijing and Chengdu, Imsight plans to recruit outstanding talent, and works together to create a bright future of Smart Medicalcare!
Job Responsibilities:
1. Design of state-of-the-art deep neural networks to solve medical imaging problems
2. Code implementation, parallel computation and optimization
3. Test and evaluate algorithms on large medical datasets to prove robustness
4. Cooperation with team members
Position requirements:
You are best equipped for this task if you have:
1. Master degree and a
Link:
None
Sr. DevOps Engineer
IMSIGHT TECHNOLOGY CO., LIMITED
Responsibilities
• Work closely with developer team to implement tools for:
➢ Faster and more efficient deployment / release
➢ Automated software development life cycle, including continuous build, testing, deployment, and monitoring
➢ Troubleshoot stability and performance issues related to the application / infrastructure
• Write readable and clean code
• Design, maintain and constantly optimize the cloud infrastructure, especially its scalability, efficiency, and security
Requirements
• 5 years working experience, able to demonstrate a solid computer science understanding regardless school degree / background
• Proficient in working with Linux environment
• Proficient in version control system e.g., Github and Gitlab
• Experience in AWS or other similar cloud services,
• Experience in configuration management tools like Ansible.
• Knowledge in open-sourced DevOps tools e.g., Jenkins and Docker is desirable
• Familiarity with Python development environment, experience in Flask is desirable
• Full-stack engineering experience is desirable
• Excellent troubleshooting skills, attention to details and think outside-the-box mentality
• Open-minded, eager to improve the product quality, open to challenges and learning new technologies
• Able to work independently, good command of English, proficiency in Chinese will be an advantage
Link:
None
Post-doc. at EPFL in bioimage processing/applied mathematics [April 2019]
École polytechnique fédérale de Lausanne (EPFL)
A post-doc. position recently opened at the Biomedical Imaging Group (M. Unser, Prof.) and CIBM, École polytechnique fédérale de Lausanne (EPFL), Switzerland.
http://bigwww.epfl.ch/
The research will involve a tight interaction between engineering (signal processing, imaging), applied mathematics, and biomedical applications (computational algorithms for CT/MR/PET image reconstruction). The ideal profile for the position entails
• an established research record with a solid track of publications and the ability to work fairly independently;
• a strong background in applied mathematics (relevant specialities are: splines, functional analysis, sampling theory, stochastic processes, convex analysis) AND/OR hands-on experience with biomedical image analysis and inverse problems;
• a real desire to collaborate/help in supervising Ph.D. students or, alternatively, to help out as a solver of mathematical problems;
• ability to code in a variety of languages the like of Matlab, Python, Java, Ansi-C.
The working conditions at EPFL are excellent. There is enough time with the project to really go in depth and to develop a solid research-oriented résumé.
Applicants should send reference letters and their detailed CV with publication record to big@epfl.ch
Link:
http://bigwww.epfl.ch/
Postdoctoral positions, University of Southern California
Children's Hospital Los Angeles/University of Southern California
We have 2 positions open. The project is to look for brain biomarkers of prematurity at birth and use them in a sparse learning framework for prediction of long-term outcomes. Candidates for the first position should have a background in electrical or biomedical engineering or equivalent, with a focus on imaging (2 years project). Those for the second one should have a background in biomedical engineering or neuroscience or equivalent (1 year project).
Postdoctoral Research Associate Medical Imaging / X-ray simulation / Image Reconstruction/ Machine Learning
Illinois Institute of Technology
The Medical Imaging Research Center (MIRC, www.mirc.iit.edu) invites applications for a position as postdoctoral Research Associate to participate in an NIH-sponsored project to develop Analyzer based phase-contrast imaging system for mamography.
Analyzer-based imaging (ABI) is a promising phase contrast technology with huge potential for soft issue imaging. Unlike the traditional absorption-contrast methods, it can measure refraction and scatter properties of the tissue, which provides superior detailed imaging for applications as mammography, making it a valuable tool for early cancer detection and aiding surgical planning.
Our lab is working on a break through solution, funded by NIH, paving
the way for the next generation ABI with inexpensive, easy set-up compact X-ray source, low X-ray dosage, and high resolution results showing details that cannot be visualized by conventional digital X-ray imaging.
Applicants must have a Ph.D. in electrical engineering, biomedical engineering, physics, mathematics, or other related area. Applications should have strong mathematical and computer programming skills.
Link:
Http://www.mirc.iit.edu
Multiple PhD and post-doc positions
The University of Iowa
We have several openings for PhD students and post-docs in the area of lung imaging and image processing.
PostDoc and PhD Positions in Deep Learning for Medical Image Analysis
Indian Institute of Technology Kharagpur
We are hiring at our labs for several positions in Deep Learning for Medical Imaging and Image Analysis for research in
1. Reinforcement learning
2. Adversarial learning and Perception quantification
3. Large scale benchmarking of algorithms in CPU/GPU systems
4. Explainable AI: safety, reliability, accountability of Deep Learning models for healthcare AI deployment
5. Lifelong learning and Multi-cohort fusion
Chat with Prof. Debdoot Sheet (PI of the Lab) during ISBI 2019, schedule a meeting using this app.
We are building TRL6/7 solutions for Image Analysis and Healthcare AI industry and our clients and partners include silicon manufacturing to healthcare software companies. We house a 750 TFlops CPU/GPU linear algebra cluster in lab and house 20 TB+ of clinical/medical imaging data.
Link:
http://iitkliv.github.io
Recruiting Professor, Associate Professor, and Post-Doctorial Fellows
Shenzhen Institutes of Advanced Technology, CAS
Qualifications:
We are seeking candidates with a strong commitment to excellence in scholarly research. He/ she will be expected to carry out research in one or more of the following areas: (medical) image processing, pattern recognition, virtual reality and their applications in biomedical engineering.
The successful applicants should have a strong academic background in the aforementioned areas with a record of research publications in top-ranked field journals (this requirement is obviously dependent on the level to which the candidate is applying). Moreover, relevant experience in obtaining funding and managing national and international research projects will be considered an advantage.
The main requirements for applicants are listed below:
1) PhD or doctoral degree from a recognized university;
2) Excellent scientific achievements, documented by internationally recognized publications;
3) Excellent communication skills (oral, written, presentation);
4) Proficient in English (oral and written);
5) Collaborate skills, initiative, result oriented, organization, and capacity to work in an interdisciplinary environment.
How to apply:
Interested candidates are invited to send the application material listed below by email to qm.hu@siat.ac.cn:
1) A cover letter including motivations;
2) A complete curriculum vitae with a list of publications, awards, and grants;
3) A copy of the three most significant recent publications, communications or working papers.
Post-doc position : Observation and characterization of 3D deformation of soft tissue organs with ultra-fast MRI.
LIS UMR CNRS7020
The research is focused on developing a novel medical analysis technique to improve healthcare of patient living with pelvic floor disorders. These diseases lead to mechanical dysfunction of the pelvic organs support structures. To enhance the understanding, we advocate a process to observe the main organs over time in 3D by developing a MRI acquisition sequence associated with a volume reconstruction adapted to the visualization of organ movement in 3D. The postdoctoral researcher will develop methods and tools related to volume modelling from ultra-fast multi-planar MRI. Visualization of deformations and motions of those organs is a first. Besides, mathematical features will be proposed to provide quantitative analysis and evaluation of the reconstructed volume surfaces.
The postdoctoral position will take place in Marseille at the “laboratoire d’informatique et des systèmes“ (LIS) - St Jérôme Faculty. The LIS brings together more than 375 members: 190 researchers, more than 165 doctoral and post-doctoral students and 20 IT/IATSS. Research focuses on fundamental and applied activities in the fields of computing, automation, signal and image. The postdoctoral researcher will have to move to the Timone University Hospital site occasionally in order to participate to MRI acquisitions and setting at CRMBM and to collaborate with the practitioners involved. With a multidisciplinary staff of 80 basic scientists, engineers and clinicians, the CRMBM is one of the largest biomedical MR centres in Europe and a national research facility for preclinical and clinical MR imaging. It is backed by CEMEREM, which is the MRI platform with 1.5T, 3T and 7T imagers among others.
The candidate must have a PhD degree in a field related to geometric modelling or surface characterization or segmentation with 3D MRI image. Strong skills in applied mathematics and python programming programming would be valued.
Project start: early 2019. Duration: 12 - 16 Months.
Link:
None
Postdoctoral Associate (Brain Imaging and Computational Neuroscience)
University of Rochester
The Department of Biostatistics and Computational Biology at the University of Rochester announces an opening for a postdoctoral associate to work in the field of brain imaging and computational neuroscience. The ideal candidate is expected to develop state of the art statistical and machine learning methods for understanding complex neuronal mechanisms behind normal aging and neurodegenerative diseases. See more details: https://www.urmc.rochester.edu/biostat/employment/zhangpostdoc.aspx
Link:
https://www.urmc.rochester.edu/biostat/employment/zhangpostdoc.aspx
Research Internship at Inception Institute of AI, Abu Dhabi, UAE
Inception Institute of Artificial Intelligence
IIAI is a new research institute with an international, collegial work environment and abundance of availability of extremely well-published researchers (25 papers in CVPR 2019) in all our areas of interest. The research we do is enabled by our world-class compute infrastructure (100s of nVidia DGX-1/DGX-2 GPU servers).
RESEARCH INTERN applicants are expected to be enrolled/graduated MS/PhD students with coursework + research experience in ML/CV, and comfort with the usual programming tools such as Python, OpenCV, TensorFlow, PyTorch etc. Experience in Medical Imaging will be a plus.
APPLICATION: Please email Shadab Khan (shadab.khan@inceptioniai.org) and cc Munawar Hayat (munawar.hayat@inceptioniai.org) with all of the following material. ( 1 ) CV, ( 2 ) Link to relevant papers if any, ( 3 ) Github or dropbox link to your best code samples, ( 4 ) (a) Earliest start date and, (b) longest you can stay in the internship program. Duration is flexible on a case-by-case basis, though we prefer interns who can spend 5-6 months or more.
BENEFITS: Competitive tax-free stipend, air tickets, health insurance and free 4* hotel accommodation with breakfast, gym, and swimming pool facilities.
ABU DHABI: Capital of UAE and located close to Dubai, Abu Dhabi offers the right balance between megacity-convenience in a small-town liberal setting with access to two major international airports (Abu Dhabi and Dubai) offering non-stop flights to all parts of the world. Abu Dhabi is home to several world-class universities, schools, hospitals and recreation centers including New York University (NYU), Cleveland Clinic, The Louvre Museum, Ferrari World, Warner Brothers Theme Park, Yas Waterworld, and many others. With several pristine fine-sand beaches, multi-ethnic restaurants, a mangrove national park within the city, and mountains a short distance away, Abu Dhabi offers superb opportunities for work and play.
Link:
www.inceptioniai.org
PhD opportunities at Centre for Doctoral Training in Smart Medical Imaging
King’s College London and Imperial College London
We will be opening shortly our applications portal for further fully funded PhD studentships in this exciting new programme, in the heart of London, hosted by two world class universities and embedded in a major teaching hospital. Choose from our 30+ interdisciplinary projects in AI enabled Imaging, Smart Imaging Probes, Emerging Imaging and Affordable Imaging on imagingcdt.com
Link:
imagingcdt.com
Postdoctoral fellow in machine learning of prostate MRI
University of California, Los Angeles (UCLA)
A postdoctoral fellow is now available for a qualified candidate in the Sung Lab, Magnetic Resonance Research Labs (MRRL), Department of Radiological Sciences, UCLA. We are looking for a highly motivated individual to conduct research in the area of Machine Learning and/or Image Analysis for detecting and diagnosing prostate cancer. Our current projects include 1) semi-supervised MRI-based prostate cancer prediction with deep generative learning, and 2) improved correlation of prostate multi-parametric MRI with histologic findings. The specific project will be determined based on the interests of the mentor and candidate.
The successful candidates will participate in all stages of investigation including theoretical advancements, experimental design, and data collection and analysis. The position requires strong verbal and written communication skills, and the ability to interact with others with diverse areas of expertise.
Link:
mrrl.ucla.edu/sunglab/
PhD position in modeling brain structural and functional connectivity
Inria, IRISA, Univ Rennes 1
Modeling brain structural and functional connectivity –
https://team.inria.fr/empenn/files/2019/02/these_Connectivite.pdf
Link:
https://team.inria.fr/empenn/files/2019/02/these_Connectivite.pdf
Postdoctoral fellow
University of Iowa
The goal of the project is to develop highly accelerated high resolution diffusion MRI techniques and its validation in micro-structural studies. Diffusion MRI methods are highly sensitive to detect microstructural changes in tissues. However, its deployment in the early diagnosis of neurological disorders require that microstructural changes can be measured robustly using biophysical models that provide specific details about the microstructure changes. The goal is to develop a highly accelerated methods that samples multiple shells at high resolution. Joint under-sampling of the combined diffusion and spatial domains will be pursed in conjunction with joint reconstruction methods. The postdoctoral researcher will work on reconstruction and analysis methods that will validate the proposed acquisition. The post-doctoral fellow will work at the Magnetic Resonance Research Facility at the University of Iowa. This is a highly collaborative environment led primarily by the faculty at the Iowa Institute of Neuroscience, the Department of Radiology, Electrical Engineering and Psychiatry. The candidate will have access to state of the art MRI facilities including research dedicated 3T, 7T human and 7T small animal scanners. The postdoctoral candidate should have previous experience in MRI acquisition, reconstruction or diffusion data analysis. Project start: immediate. Duration: 18 - 24 months. Please contact merry-mani@uiowa.edu or mathews-jacob@uiowa.edu for further information. We can also chat during the conference.
Link:
None
Post Doc researcher or PhD student
Chiba University
Project name: Acquisition and analysis of macroscopic pathological information based on multimodal measurement of resected specimen of esophagus gastrointestinal cancer.
Period: 2019 April to 2022 March
This study with “multimodality” includes digital microscopy, hyperspectral imaging, optical coherence tomography (OCT), Raman
spectroscopy, micro CT*.
*Study using micro CT will be done in Memorial Sloan Kettering Cancer
Center, NY.
Link:
None
Postdoc position: Machine learning and radiogenomics in Neuro-Oncology
NeuroSpin CEA
Machine learning and radiogenomics in Neuro-Oncology
Link:
https://vincentfrouin.github.io/braino/opportunities/postdoc_radiogenomics_jun19.pdf
Post-doc: modeling gene regulation networks in a multi-cellular context during seed maturation
INRA
Seed maturation is a key developmental phase during which seeds accumulate storage products and progressively acquire resistance to dessication. This phase is controlled by a few master genes (the “AFL” genes) that exhibit specific spatio-temporal expression patterns at the tissue scale. Through a computational modeling approach, the project aims at deciphering the determinants and regulations underlying these patterns. Based on bibliographical and transcriptomic data already available on wild-type and mutant genotypes in the model plant Arabidopsis thaliana, the candidate will be in charge of designing, implementing and analyzing multi-cellular computational models of the master gene regulation network.
PhD position at CEA/NeuroSpin, Paris area
CEA
3-year funding PhD position available at NeuroSpin under the supervision of Dr Philippe Ciuciu on:
High-performance simulation for the design of compressed sensing trajectories in high resolution functional marketing at 7 and 11.7 Tesla.
see more detailed description in the topic marked SL-DRF-19-0781 in the website mentioned below.
Link:
numerics.cea.fr/Pages/Numerics/Subjects/Subjects.aspx
R&D engineer
Quantib
At Quantib, we are changing healthcare with artificial intelligence, we are making medical image diagnostics more accurate and efficient by deploying state of the art machine learning technology into the clinic. Our software helps radiologists and other medical specialists with diagnosis, disease progression monitoring and therapy planning. If you’re excited about moving healthcare forward, we’d love for you to join us.
You will be working in the dynamic and highly qualified team of our recently opened Quantib-U office in Utrecht. In addition to clinicians, most employees there are AI specialists and R&D Engineers.
You will be using state of the art machine learning techniques, including deep learning, to extract quantitative information from medical images like CT and MRI.
The algorithms you develop should be efficient and robust and need to be validated and integrated in a software product.
Together with our quality manager, you will work on the necessary documentation to get the software product you develop certified for clinical use.
You will work according to agile methodology.
Training will be provided to bring your skills to the next professional level.
You will collaborate with international large and small enterprises and academic institutions in product development and European subsidy projects.
You will have flexibility in working hours. After your training period you would be based in the Quantib-U office in Utrecht.
Link:
https://www.quantib.com/careers/research-development-engineer-0
