Postdoc/Project scientist/Research staff scientist
Cardiovascular Imaging Research Lab at UCLA and VA system
The Cardiovascular Imaging Research Lab at UCLA and VA Greater Los Angeles Healthcare System seeks enthusiastic candidates for funded positions. Projects include developing and applying cardiovascular imaging methods to detect and quantify indices of cardiovascular disease in human patients and animal models. We seek PhD, MD, and MD/PhD candidates. Excellent oral and written communication skills, strong motivation, and the ability to work in a team are expected. Post-doctoral candidates, project scientists, or research staff scientists will be considered. Salary scale is negotiable and commensurate with experience.
PhD candidates should hold a degree in Biomedical Engineering, Electrical Engineering, Biomedical Physics, Medical Imaging, or a closely related field. Preferred skills include experience in MRI, image reconstruction and processing, and cardiovascular disease research. The candidate is expected to be proficient in MATLAB and C++. Projects include whole-heart T1 mapping, 5D MRI, coronary imaging, perfusion imaging, and development of novel techniques for USPIO-enhanced MRI. Candidates with a background in statistical machine learning or computer science will have opportunities to work on graph-based representation. Candidates with computational fluid modeling or biomechanical modeling will have opportunities to work on projects related to congenital and ischemic heart disease.
MD or MD/PhD candidates should have research experience in cardiovascular disease and MRI. Funded projects are in the areas of congenital heart disease, heart failure, ischemic heart disease, and cerebrovascular disease. Prior experience in cardiovascular interventional procedures and ischemic/infarct modeling in large animals would be ideal. Candidates with interest in applying machine learning methods to cardiovascular disease can be accommodated.
Link:
https://cvirl.dgsom.ucla.edu/pages/
Scientist, Interventional Cardiac MRI (iCMR) in Memphis
GE HealthCare
Are you looking to make a meaningful impact? Come join our world-class Imaging Team and help shape the future of MRI. The successful candidate will collaborate closely with the staff at LeBonheur Children’s Hospital in Memphis, Tennessee, to develop novel interventional cardiac MRI applications and work with a dynamic team of GE scientists and engineers to design solutions that can be integrated into deployable product frameworks to serve patients around the world.
Are you attending CMR2024? Come and chat with us! On Saturday, 9-10:45am at Chaucer room (4th floor of QEII) or schedule a meeting: Martin.Janich@GEHealthCare.com
Link:
https://gehc.wd5.myworkdayjobs.com/GEHC_ExternalSite/job/Memphis/Scientist--Interventional-Cardiac-MRI_R3736277
MRI Scientist in Rochester, MN
GE HealthCare
Are you looking to make a meaningful impact? Come join the GE HealthCare team and help shape the future of MRI.
The successful candidate will collaborate closely with a world-class academic partner at Mayo Clinic in Rochester, MN, to develop novel clinical MRI applications and work with a dynamic team of GE HealthCare scientists and engineers to design solutions that can be integrated into deployable product frameworks to serve patients around the world. Clinical focus areas include cardiovascular applications, as well as other areas such as body, musculoskeletal, and radiation oncology.
Are you attending CMR2024? Come and chat with us! On Saturday, 9-10:45am at Chaucer room (4th floor of QEII)
or schedule a meeting: Martin.Janich@GEHealthCare.com
Link:
https://careers.gehealthcare.com/global/en/job/R3710578/MRI-Scientist-Mayo-Clinic-Rochester-MN
Research Fellow in Machine Learning for Fetal MRI
University College London
We are looking for an enthusiastic Postdoctoral Researcher to support our work in Fetal Magnetic Resonance Imaging.
MRI is increasingly used for definitive prenatal diagnosis in cases of suspected disease, and has been shown to be superior to ultrasound at defining and detecting abnormalities (including thoracic, abdominal and spinal malformations). However, MRI is a relatively slow imaging technology, which makes it sensitive to motion. This is particularly problematic in Fetal imaging, where irregular and unpredictable motion often result in non-diagnostic, motion-corrupted images.
The post-holder will focus on the development of novel rapid imaging techniques. In particular, leveraging machine learning (ML) to aid optimisation of acquisition strategies, perform motion correction, enable low-latency reconstructions, and/or perform rapid online post-processing tools for Fetal imaging. The successful applicant will join a multi-disciplinary group of academics across UCL, with very close clinical links to one of the world-leading Fetal MRI services at UCLH Elizabet Garrett hospital.
Our group has vast experience in development of rapid MRI techniques and on-line reconstructions in pediatric and adult populations. Importantly, our group has significant experience and a proven track record of translating new technologies into real world clinical practice. This post-holder will build on these tools, applying them to Fetal imaging, particularly for the assessment of the lungs.
Our research group are leaders in the use of machine learning (ML) for reconstruction of MRI data, particularly in the field of low-latency imaging. This work will build on these tools to enable rapid visualisation and processing of Fetal images using ML, on the scanner in a clinical setting.
Research Fellow in Machine Learning for Pediatric MRI
University College London
Project Title
Towards 10-minute Magnetic Resonance Scanning in Children - Developing Accelerated Imaging Using Machine Learning
Context
We are looking for an enthusiastic Postdoctoral Researcher to support our work in developing rapid Magnetic Resonance Imaging tools, leveraging Machine Learning.
Magnetic Resonance Imaging (MRI) scans play a vital role in diagnosing and monitoring of illness in children. However, MRI is a relatively slow imaging technology, which makes it sensitive to motion. This is particularly problematic in children, where motion often results in artefacts.
At UCL/Great Ormond Street Hospital we are the forefront of developing fast imaging techniques that allow children to be scanned more easily. Importantly, we have significant experience and a proven track record of translating these new technologies into real world clinical practice where they have real impact.
Current state-of-the-art tools to speed up MRI imaging are often time consuming, restricting their use in clinical practice. Thus, our group has been heavily interested in the use of machine learning (ML) to enable rapid MR imaging. ML can be applied to many parts of a pediatric MRI examination, including optimisation of acquisition strategies, rapid reconstruction and development of automated post-processing tools.
Our group has vast experience in development of rapid MRI techniques and on-line reconstructions in pediatric and adult populations. Importantly, we are world-leaders in the field of low-latency reconstruction, with a proven track record of translating new technologies into real world clinical practice. The successful candidate will have the opportunity to further develop these novel tools in a broad range of paediatric applications.
Research Fellow in Exercise CMR
BIDMC, Harvard Medical School
We are looking for a postdoc candidate with expertise in method development for a project related to exercise CMR; candidate should have a PhD in imaging physics and interested in imaging physics, AI and pulse sequence programming.
If you are interested, please send me an email with your CV with a brief summary of your prior research and your interest;
Link:
None
Research Fellow in HCM
BIDMC, Harvard Medical School
We are looking for a physician-scientist with an interest in HCM pathophysiology and risk stratification; you will be working with an interdisciplinary team of imaging and HCM experts to develop risk prediction models based on CMR; an ideal candidate should have experience in biostatistics and CMR;
If you are interested, please send an email with your CV and research experience;
Link:
None
Postdoctoral fellowship in cardiac perfusion MRI
University of Utah
We are seeking a talented and motivated post-doctoral researcher to join our team at the forefront of cardiac MRI research in myocardial perfusion imaging and parametric mapping. This exciting opportunity offers a chance to contribute to cutting-edge image acquisition, reconstruction, and post-processing methods that will shape the future of myocardial perfusion imaging and parametric mapping. The cardiac MRI group at the Utah Center for Advanced Imaging Research (UCAIR) is dedicated to pushing the boundaries of cardiac MRI and improving patient outcomes. As a member of our team, you will collaborate with world-class researchers and clinicians including Drs. Adluru, DiBella and Arai to drive advancements in cardiac imaging technology and its application in clinical settings.
Responsibilities: • Conduct cutting-edge research in MRI, with a focus on novel data acquisition, image reconstruction and quantification techniques for myocardial perfusion imaging, and tissue characterization with parametric mapping. • Design and implement experiments, analyze data, and contribute to the development of novel imaging techniques. • Collaborate with interdisciplinary teams to carefully evaluate the imaging results and translate into broader clinical research projects. • Publish research findings in high-impact journals and present them at national and international conferences.
What We Offer: • Competitive salary and benefits package. • State-of-the-art research facilities and resources. • Co-mentorship from leading experts in the field including Drs. Adluru, DiBella and Arai. • Opportunities for career development and advancement. • A vibrant and collaborative research environment.
How to Apply: Interested candidates should submit a cover letter, curriculum vitae, and contact information for three references to ganesh.adluru@utah.edu University of Utah is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.
Cross Sectional Imaging Fellowship
Manchester University NHS Foundation Trust
Applications are invited for a Senior Locally Employed Doctor in Cardiac Cross-Sectional Imaging, to be based at Wythenshawe Hospital (part of Manchester University NHS Foundation Trust).
If you are seeking a period of higher training in Cardiac Cross-Sectional Imaging, and are from a Cardiology or Radiology background, then we would love to hear from you!
You will be part of a busy Cardiac Cross-Sectional Imaging unit, which runs Cardiac Imaging lists every day, with dedicated consultant support. Furthermore, the post will offer you the chance to further enhance your cardiac cross-sectional imaging skills . You will support the wider directorate team with your diagnostic skillset and work towards independent reporting of scans, whilst supported by the consultant team.
Advert
This role will focus on honing your skills in supervising and reporting cardiac cross-sectional imaging scans, for both cardiac MR and cardiac CT. You will work towards, or enhance skills gained from completing, certification to report scans independently.
You will support the wider Cardiology directorate by delivering a high-quality diagnostic service, and contribute to the relevant MDT meetings (the department has strong links with specialist regional service groups such as ACHD, ICC, Structural Heart Disease etc.)
You will play a key part in the department's discrepancy meeting and will have the opportunity to contribute to departmental research.
Contract type & working pattern
ContractFixed term: 12 months HoursFull time - 40 hours per week
Postdoctoral researcher in AI deep learning for “virtual native enhancement” of CMR towards fast and gadolinium-free imaging of the heart
University of Oxford
Cardiovascular MRI is a powerful tool for heart disease diagnosis. Since 2000, Intravenous (IV) gadolinium-based contrast agents have been routinely used in current MRI clinical practice to enhance image contrast and detection of heart disease. However, IV contrast is cautioned in some patient groups, requires injection with needles, and increases scan time and costs.
After two decades of using IV contrasts for scanning the heart with MRI, AI deep learning emerges to provide a new perspective to rethink contrast enhancement approaches in diagnostic imaging. At Division of Cardiovascular Medicine, University of Oxford, we are working on a groundbreaking concept of “virtual native enhancement” (VNE) - enhancing MRI with AI instead of IV contrasts. Having demonstrated this concept in two common heart diseases (Circulation. 2021;144:589–599; Circulation. 2022;146:1492–1503), we plan to further develop and translate it bench-to-bedside for real-world clinical practice.
We are looking for a highly motivated machine learning scientist to develop novel AI approaches to detect more cardiac pathologies to push the boundaries of MRI diagnostic capability. You will work closely with an interdisciplinary team of machine learning scientists, cardiologists and MR scientists at the University of Oxford Centre for Clinical Magnetic Resonance Research, and develop deep learning models at the forefront of cardiac clinical research.
Funding is available from mid 2024 for 3 years, with the option of renewal.
Link:
None
Cardiac MRI Technologist - No call/no nights/no weekends/no holidays
Abrazo Health
Abrazo Arizona Heart Hospital is looking for a full-time MRI technologist. Position is predominantly cardiac and cardiac experience is preferred. You will work 1:1 with Level 3 CMR cardiologist. Arizona Heart Hospital supports a dedicated cardiology fellowship and academic program. GE Signa Artist 1.5T magnet.
CMR Applications Researcher
University of Oxford
CMR Applications ResearcherRDM Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, OX3 9DU
We are seeking a highly motivated CMR Applications Researcher (postgraduate or postdoctoral) to join our team in the Oxford Centre for Clinical Magnetic Resonance Research (OCMR). You will be a member of the Advanced Cardiovascular Image Analysis Group, reporting to Prof. Stefan Piechnik (OU) and Dr. Margarita Gorodezky (GE). Beside translation and validation of the relevant technologies, you will provide guidance to other members of the research group, including postdocs, research assistants, technicians, and PhD and project students. The position is advertised for up to two years, and you will be encouraged to apply for further funding to continue the multi-centre collaborative work to explore the potentially significant impact of the technologies in the foreseeable future.
Your responsibilities will include implementing existing and new MR imaging and analysing methods for quantitative imaging approaches on the clinical GE MRI systems. This includes programming, troubleshooting and validation of acquisition and post-processing methods. You will also collect phantom and human data on clinical MR systems, maintain accurate records, and undertake any appropriate analysis of data as required for this and any related research projects.
Link:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=169831
Exercise CMR for diagnosing Heart Failure (with Preserved Ejection Fraction)
UMCG
Looking for a Dutch-speaking PhD candidate with MD to perform a PhD on the role of exercise CMR in diagnosis of Heart Failure with Preserved Ejection Fraction.
Link:
https://www.linkedin.com/posts/laura-meems-79000817_arts-onderzoeker-hartfalen-hfpef-werken-activity-7148391258829324290-Alx8?utm_source=share&utm_medium=member_ios
Research fellow with experience in AI-applications on imaging data
University Hospital Münster
Improve individual patient outcome by using AI-based solutions on modern non-invasive imaging data to derive personalised SCD risk prediction.
Our aim is to significantly improve the predictive assessment of patients who may be at risk of “sudden cardiac death” (SCD). By integrating modern cardiac imaging data and supporting individual data, we aim to refine diagnostics, and thus the choice of treatment options, which at present are poorly based on decade-old evidence and measurements on superseded instrumentation. To do so, we have set up a comprehensive repository for diverse datasets, including high-quality CMR imaging data, and an environment for digital diagnostic algorithms and interfaces for diverse users. In this data infrastructure, we aim to develop predictive digital models, integrating diverse well-defined retrospective datasets of patients with a) cardiac sarcoidosis, b) conventional hypertrophic cardiomyopathy and c) cardiac ATTR amyloidosis. Building on these predictive models, we aim at developing an artificial intelligence (AI)-based clinical decision support solution.
We are looking for a motivated and skilled “youngster” (“research fellow” or “scientist” or “physician”) with particular experience in the application/translation of machine learning-based approaches on multi-modality imaging data (with a major focus on CMR data) in order to address the aforementioned goals of our project. For this “additional” research position in our working group in Münster (Germany), funding is currently available for the first year of this project (starting in mid 2024) and can be extended thereafter. A half-time position will also be possible and supported.
Link:
www.herz-mrt.ukmuenster.de
Cross-sectional imaging research fellow
University of South Florida
Ideal for a post medicine resident interested in pursuing cardiology fellowship. Access to faculty and research in echocardiography, structural echo, cardiac CT, cardiac MRI, and nuclear. The Division of Cardiovascular Sciences has a general cardiology fellowship, advanced imaging and echo fellowships, and subspecialty fellowships in EP, heart failure, interventional. The year can be tailored to the individual’s needs, allowing time for limited outside work/moonlighting. Interested applicants please send your CV to Dr. Shone Almeida.
Link:
None
Postdoctoral fellowship
Cardiac MR Group, Lund University
The cardiac MR group, Lund, Sweden performs research on numerous aspects of cardiovascular physiology, pathophysiology, and clinical CMR.
We are now looking for postdoctoral fellows with medical or engineering background for all our research lines:
* acute ischemic heart disease and heart failure
* chronic ischemic heart disease, microvascular disease and myocardial perfusion
* exercise MR
* pulmonary arterial hypertension
* image processing and modeling
* quantitative flow imaging, including 4D flow
* congenital heart disease
* cardiac pumping physiology
For more information, please contact Prof. Håkan Arheden
Link:
None
Postdoctoral fellowship Fetal CMR - pulse sequences and image reconstruction
Cardiac MR Group, Lund University
The cardiac MR group, Lund, Sweden performs research on numerous aspects of cardiovascular physiology, pathophysiology, and clinical CMR.
We are now looking for a postdoctoral fellow with an engineering background for our work on fetal CMR
We are looking for candidates with experience in:
* Pulse programming
* Image reconstruction
* Motion correction
For more information, please contact Prof. Anthony Aletras
Link:
None
Postdoctoral fellowship Fetal CMR
Cardiac MR Group, Lund University
The cardiac MR group, Lund, Sweden performs research on numerous aspects of cardiovascular physiology, pathophysiology, and clinical CMR.
We are now looking for a postdoctoral medical fellow for our work on fetal CMR.
The candidate will drive clinical research on fetalCMR including quantification of fetal cardiac and placental physiology and clinical application of fetal CMR.
For more information, please contact Assoc. Prof. Erik Hedström
Link:
None
Cardiothoracic Radiologist at Penn
Penn Medicine
The Department of Radiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure academic clinician track. Expertise is required in the specific area of cardiothoracic imaging. Applicants must have an M.D. or M.D./Ph.D. or equivalent degree. Applicants must be American Board of Radiology certified or eligible with sub-specialty training in Cardiothoracic Radiology.
Teaching responsibilities may include daily clinical supervision of residents and cardiothoracic imaging fellows and lecturing to medical students, radiology residents, fellows and trainees from other departments. Serving in a educational leadership role within the division.
Clinical responsibilities may include interpretation of chest radiographs, thoracic CT and thoracic MRI. Performance of thoracic needle biopsies is preferred. There is an option to participate in the cardiovascular CT and MRI clinical practice. The successful candidate will also participate in shared after hour and weekend coverage.
Penn Radiology provides clinical services for the Hospital of the University of Pennsylvania, Penn Presbyterian Medical Center, Pennsylvania Hospital, Philadelphia Veteran Affairs Medical Center, as well as affiliated outpatient imaging centers located in Pennsylvania and New Jersey.
We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.
Link:
https://apply.interfolio.com/137466
Advanced imaging fellow 2026-27
University of South Florida
Multimodality advanced imaging fellow for 2026-27 academic year. This is a funded position. USF-Tampa General Hospital is the only academic health system on the west coast of Florida. We have a full breath of cardiac imaging - echo, structural echo, ICE, cardiac CT, cardiac MRI and PET. Emphasis in this year on cardiac CT and MRI with potential to tailor to individual needs. There are plenty of opportunities in imaging research and education. Email for additional information. Applications now open with anticipated interviews in March/April 2024.
Link:
None
General cardiology or Advanced imaging Cardiologists at UT San Antonio
UT San Antonio
UT in San Antonio is an active and rapidly growing academic institution. In Cardiology we are actively recruiting for noninvasive cardiologists with a focus in echo. Interest in structural echo, nuclear and other advanced imaging is helpful. Please let me know if you or anyone you know is interested.
Link:
None
Application developer (f/m/d) for sequences and reconstruction methods
Siemens Healthineers
Your tasks and responsibilities:
You will be responsible for the design, product specification, prototype development and implementation of advanced imaging techniques in the field of cardiovascular magnetic resonance
In collaboration with international clinical consultants and third-party companies, you will work on the development and optimisation of new MR imaging techniques
In addition, you will ensure the translation of customer feedback into specifications for our hardware and software teams
You will work closely with our product teams to ensure an optimal product solution
You will also be responsible for publishing scientific articles, acting as a co-author and giving presentations at international congresses
Link:
https://jobs.siemens.com/careers/job/private?job_id=402481&utm_source=Private+Post
Stanford Postdoc or Scientist
Stanford University
We’re looking for experimentalists to join a diverse team of MRI scientists. Postdocs or scientists interested in using MRI to evaluate 3D-bio printed constructs (collagen valves, heart tissue) on the bench, in the scanner, and in living subjects are encouraged to apply. We are also keen to hire people interested in cardiac diffusion tensor imaging and strain imaging.
Link:
None
Cardiothoracic Radiologist at Johns Hopkins
Johns Hopkins
Assistant or Associate Professors in Cardiothoracic Radiology
The Johns Hopkins University School of Medicine Department of Radiology is seeking applicants for Assistant or Associate Professors in Cardiothoracic Imaging. Traditional full-time or part-time tracks are available with flexible work schedules, including remote shifts.
Hopkins offers exceptional quality imaging, reasonable case-loads, wonderful colleagues in all departments, and superb technologists and residents. Salaries have been recently
boosted in a low cost of living, vibrant city with beautiful suburbs and nationally ranked
schools. Hopkins pays 1/2 of college tuition for full-time faculty dependents anywhere in the
country.
The ideal candidate should be interested in an academic career, with an emphasis on high-level
clinical care and teaching. Multiple pathways to promotion include research, quality, education,
or clinical excellence tracks. The position provides 20% protected academic time in a
department that values excellence in patient care, research and teaching. Applicants must be
Board Certified and eligible for Maryland Licensure. The Johns Hopkins University School of
Medicine is an EEO/AA employer. We offer competitive salary, excellent benefits and a worldclass department with commitment to excellence. Interested, qualified applicants should send
inquires and a current CV to Stefan Zimmerman, M.D., Department of Radiology, Johns Hopkins
Outpatient Center, Office 3254, 601 N. Caroline Street, Baltimore, MD 21287; email to
Stefan.zimmerman@jhmi.edu
Link:
None
Consultant Cardiologist with an Interest in Cardiac Imaging
Liverpool Heart and Chest Hospital
An exciting opportunity has arisen to join the Cardiology team at Liverpool Heart and Chest as a locum consultant cardiologist with a special interest in imaging. The appointee will be expected to be proficient in the performance of two or more advanced imaging modalities (from echocardiography, cardiovascular MRI (CMR) and cardiac computed tomography (CCT)), and to participate in the development and introduction of advanced imaging services.The post holder will join an established team andwill be supported by a team of junior doctors (of training and non-training grades), advanced practitioners, nurses, therapists, and in reach of specialists across the hospital.
Link:
https://www.jobs.nhs.uk/candidate/jobadvert/C9410-24-0022?employerCode=C9410&language=en&page=1
Clinical Fellow in Radiology
Liverpool Heart and Chest Hospital
GMC registration with licence to practice I essential. Typically, there are two 12-month posts available every year, and the advertisement goes out in late spring. The fellowship offers training in multimodality thoracic and cardiovascular imaging (radiography, CT, MRI). The fellowship is tailored to specific goals for each fellow.
Fellows join the daily tasks and activities of the Cardiothoracic Radiology team, where currently there are eleven Consultant Cardiothoracic Radiologists, working collaboratively with six Imaging Cardiologists. In addition, four specialist radiology trainees and two-three specialist cardiology trainees rotate in the department.
Link:
https://www.lhch.nhs.uk/clinical-fellowship-in-radiology
Consultant Radiologist - Cardiovascular Imaging
Liverpool Heart and Chest Hospital
Applications are invited from radiologists who have experience in cardiovascular and cardiothoracic imaging. The successful applicant will have the opportunity for in-house training and work along with our team of ten experienced cardiothoracic radiologists and six cardiologists with imaging interest.
Liverpool Heart and Chest Hospital (LHCH) is a successful NHS Foundation Trust, dedicated to the diagnosis and treatment of cardiothoracic diseases, with an outstanding group of cardiac and thoracic surgeons, radiologists and chest physicians and cardiologists. Our Trust has its own research department which provides excellent support for those colleagues interested in research and innovation.
This post was created to accommodate for the increase in the demand of cardiovascular and cardiothoracic imaging studies, securing an adequate workload to each of the consultants. Our department provides the best technology for cardiothoracic imaging, with two MRI scanners, including a wide bore, 1.5T cardiac optimized Siemens Sola MR scanner and a 3T VIDA Siemens and two dual energy CT scanners, (Siemens FORCE scanners) and it is fully integrated with PACS.
Link:
https://www.jobs.nhs.uk/candidate/jobadvert/C9410-24-0045?employerCode=C9410&language=en
CMR Technologist Position
Duke University Health Sytem
CMR Technologist position available at Duke Univeristy Hopsital in Durham, NC. Dedicated CMR position, one of the few available in the US.
Link:
https://careers.duke.edu/job-invite/241905/
