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Jobs Posted on the Whova Community Board of CMBBE 2023 Symposium on Computer Methods in Biomechanics and Biomedical Engineering

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Postdoc - Computational Foot & Ankle Biomechanics
Hospital for Special Surgery
The Biomechanics Department of the Hospital for Special Surgery (HSS) is seeking candidates for a three-year postdoctoral position in Computational Foot & Ankle Biomechanics. The selected candidate will be involved in basic science and translational research projects in total ankle arthroplasty and progressive collapsing foot deformity. Responsibilities will include developing finite element and multibody dynamics musculoskeletal models to integrate with experimental data collected from human subject and cadaver testing. Mentoring and training will be provided by the Biomechanics staff at the hospital in collaboration with orthopaedic surgeons from the Foot & Ankle Service, biostatisticians, and radiologists, providing a multidisciplinary experience. Possibilities exist for NIH support through a T32 training program at the Hospital, and the TL1/KL2 program at Weill Cornell Medical College’s Clinical and Translational Science Center for applicants who are citizens of the United States or green card holders.

The ideal candidate would have a strong mechanical engineering background including CAD (Solidworks preferred), finite element modeling (Abaqus preferred), multibody dynamics modeling (ADAMS preferred), MATLAB, image processing, and must possess excellent communication and team science skills.
Post-doc / PhD - Computational modeling in cardiovascular biomechanics
Erasmus Medical Center (Rotterdam) / Delft University of Technology
There are PhD and Post-doc positions on computational modeling (finite element modeling) of atherosclerotic arteries and congenital heart defects available in my team at Erasmus Medical Center / Delft University of Technology. The keywords for the projects are:

Failure modeling (XFEM) / Material characterization (VFM / Euclid) /
Risk prediction assessment (3D FEM) / Congenital heart modeling

Contact: /

Postdoc - computational mechanobiology in cardiovascular regenerative medicine
Eindhoven University of Technology
We have a vacancy for a postdoctoral researcher to develop computational models (finite element modeling, agent based modeling) of cardiovascular growth and remodeling in the context of regenerative medicine and particularly tissue engineering. Please reach out to me for more details if you are interested!
Link: None
Postdoctoral position in the finite element modeling of the the human jaw and more particularly of the temporomandibular joint.
Within the framework of the Dysmandipost project (a regional project between the University of Lille, the UPHF and the University Hospital of Lille), the LAMIH works on the development of digital models of the human jaw and more particularly of the temporomandibular joint (TMJ). This joint connects the mandible to the skull. It’s a bicondylar di-arthrosis with an interposed disc which presents large amplitudes of movement in rotation and translation. These displacements allow the execution of several orofacial functions, including mastication. This joint is therefore at the heart of many problems, both on a medical level (pathophysiology of TMJ dysfunctions) or on an evolutionary level.
Objectives and tasks
The work to be carried out is part of the second axis of the Dysmandipost project, which mainly concerns the modelling of TMJ. The main tasks entrusted to the candidate will be :
• Definition of the geometry and the morphology of the mandible and the skull base from patient imaging data.
• Geometric analysis of the TMJ components (mandible, mandibular fossa and disc).
• Analysis of ligament and muscle fixation points.
• Identification of personalization parameters of the model in connexion with kinematic tests
performed on the patient using a three-dimensional (3D) motion capture system.
• Simplified parametric simulation for geometric customisation of bone, muscles and
ligaments parts.
• Testing and validation of models.
Expected profile and skills required
A PhD in biomechanics, with a large background in the development and use of mechanical numerical models and medical image analysis. The candidate should be familiar with the use of CAD software and Rx imaging visualization and analysis, have knowledge of static and tribological characterization of mechanical properties of biological materials and be familiar with numerical model validation tests. Anatomical knowledge of the human body and more particularly of the craniofacial region would be a plus.

Link: None
Associate (or full) Professor of Biomedical Engineering (Brain Health)
University of Oxford
The Department of Engineering Science in collaboration with the Nuffield Department of Clinical Neurosciences intends to appoint an Associate (or full) Professor of Biomedical Engineering (Brain Health) with effect from 1 October 2023 or as soon as possible thereafter.  This is one of four new academic appointments underpinning the recently established £25 million Podium Analytics Institute in Youth Sports Medicine and Technology. You will be based at the Institute of Biomedical Engineering (OX3 7DQ) and will be offered a (Non-Tutorial) Fellowship at St Cross College under arrangements described in the Job Description. For Associate Professors, the University salary ranges from £50,300 per annum to £67,541 per annum. Holders of Full Professor title can be awarded further merit pay. Additional benefits are outlined in the job description. The appointment will be initially for five years at which point, upon completion of a successful review, the post-holder will be eligible for reappointment to the retiring age. 
Post-Doctoral Position. In silico modeling of cell migration
Aix-Marseille University
3-year Post-Doctoral Position in in silico modeling of cell migration mechanobiology
Professor tenure track : Engineering and digital sciences for health
Aix-Marseille university
"Junior professor chair". The person recruited will develop a project around one of the following themes: digital twin, medical
imaging, neurostimulation, mechanobiology, biomechanics, bioinformatics, data sciences.
Full description in french and english in the link bellow.
Junior postdoctoral researcher in machine learning for bone biomechanics
University Pompeu Fabra (UPF)
BONE STRENGTH is a public-private collaboration project funded by the Spanish Ministry of Science and Innovation (MICINN) and Agency of Research (AEI) that focusses on the prediction of fragile bone fractures in osteoporosis, out of routine clinical explorations. The collaboration will take place between the technology-based company 3D Shaper Medical SL, and the Barcelona Centre for New Medical Technologies (BCN MedTech) of the Universitat Pompeu Fabra (UPF). Both 3D Shaper Medical SL and UPF are in Barcelona, Spain.

The successful Candidate will be a junior postdoctoral researcher, with proven experience in data science and computer simulations in biomedical engineering. He/She will be based at DTIC, UPF and will be responsible for osteoporosis patient stratification based on both clinical and biomechanical information, and for the development of a meta (surrogate) biomechanical model of the femur and the vertebra, to estimate bone strength at reduced computational cost, in collaboration with 3D Shaper Medical SL. Scientific and technical competencies are necessary in modelling and machine learning in biomechanics.
Senior postdoctoral researcher in data science and machine learning for body-wide modelling
University Pompeu Fabra (UPF)
O-Health is a Consolidator grant from the European Research Council, awarded by the European Commission under the HORIZON Action. It proposes a scalable ecosystem of multi-scale models of non-communicable diseases interrelated through a body-wide systemic model of low-grade inflammation. The project is led by Prof. Jérôme Noailly, from the BCN MedTech research unit of the Department of Information and Communication Technologies (DTIC), at the Universitat Pompeu Fabra (UPF), Barcelona, Spain.

The successful Candidate will be a senior postdoctoral researcher, with proven experience in data science and machine learning. He/She will be based at DTIC, UPF and will be responsible for the management and mining of health data collected for the O-Health project, out of existing patient and population cohorts. Scientific and technical competencies are necessary in interpretable machine learning, nonlinear unsupervised learning, as well as in federated and transfer learning. Advanced programming skills and experience in handling health and/or biomedical data are required. Knowledge of data management plans will be valued. The Researcher will become progressively responsible for the data science operations of the BCN MedTech area of biomechanics and mechanobiology, to properly mine real-world health data and couple the latter to the physics- and biology-based models, developed by the other researchers of the area for interpretable predictive modelling. While a high level of independence is expected, (s)he shall report periodically to PI, to ensure (i) that the timelines of the project and deliverables are met, and (ii) that the project results can be properly disseminated through scientific and medical congresses and journals. As such, communication, teamwork, and leadership skills will be chiefly important.
Postdoctoral researcher in Fast Finite Element simulation using Model order reduction in the context of percutaneous liver tumor ablation
The project SPECULAR, funded by the ANR has 4 partners: MIMESIS team at Inria Nancy, AVR team at Strasbourg University, DEFROST team at Inria Lille and the company InfinyTech3D. The main goal of the project is to provide a realistic simulator of percutaneous liver tumor ablation surgery in Virtual Reality. This corresponds to several interventions such as biopsy of radiofrequency ablation.This involves developing a realistic and interactive finite element (FE) simulation of the needle insertion into the human body, including the interaction between the different neighboring organs, stomach, pancreas, intestine or diaphragm. Within this project, the DEFROST team tasks are related to computational efficiency to achieve the real-time constraint of the simulation to allow for smooth surgery training.

As a member of the ANR project, the recruited Postdoctoral researcher will focus more specifically on the computational efficiency of the FEM simulation. Indeed, that kind of simulation involving several organs in contact is typically expensive for several reasons:
- the finite element mesh of the liver has to be fine to account accurately for its deformation when punctured by a needle
- the computation of the interaction constraints between the needle and the liver
- the multiple contact interactions between all the surrounding deformable organs
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