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Postdoc in Computational Biomechanics and Cardiac Imaging at Yale University Yale University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
NIH T32 fellowship/postdoc appointment at Yale University with Yale postdoc compensation levels; 2–3 year appointment; related funded work is available. No stipend amount is stated.
Country
United States
University
Yale University

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About this position
Postdoctoral position at Yale University in the Computational Biomechanics Lab (Martin Pfaller, PhD) and the Yale Translational Research Imaging Center (Albert Sinusas, MD).
The project supports an NIH T32 Fellowship and is tied to an NIH R01 effort on image-guided intramyocardial delivery of therapeutic hydrogels after myocardial infarction. The postdoc will build the computational core of the project, including subject-specific left-ventricular models to quantify mechanical changes and guide hydrogel injection in a porcine reperfused infarction model.
Related funded work may include physics-informed myocardial stiffness estimation from echocardiography and microstructure-based cardiac growth/remodeling models.
Eligibility highlights: PhD in mechanical engineering, biomedical engineering, applied mathematics, or a related field; strong background in nonlinear continuum mechanics, finite element methods, and biomechanics; proficiency in scientific programming (git, Python, C++) and HPC. Because of NIH rules, US citizenship or permanent residency is required.
Appointment length is 2–3 years at Yale postdoc compensation levels. Location is New Haven, Connecticut, USA, with a flexible start date up to June 2027. Review is rolling.
To apply, email [email protected] with a CV, statement of research interests, and 2–3 references.
Funding details
NIH T32 fellowship/postdoc appointment at Yale University with Yale postdoc compensation levels; 2–3 year appointment; related funded work is available. No stipend amount is stated.
What's required
PhD in mechanical engineering, biomedical engineering, applied mathematics, or a related field; background in nonlinear continuum mechanics, finite element methods, and biomechanics; scientific programming skills (git, Python, C++) and high-performance computing proficiency required; US citizenship or permanent residency required due to NIH funding.
How to apply
Email [email protected] with a CV, statement of research interests, and 2–3 references. Applications are reviewed on a rolling basis.
More information can be found here
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