41 parallel-computing-numerical-methods Fellowship positions at University of Michigan
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-disciplinary research program that couples clinical, computational and basic research, epitomizing our bench-to-bedside philosophy. The position will leverage a combination of cutting-edge techniques
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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, computer science, or equivalent disciplines. Good written and verbal communication skills in English. Ability to work independently or collaboratively with a diverse research team. Desired Qualifications
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research methods Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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social science research methods Applicants should contact and secure mentors, one from each of FoSS (HKU) and ISR (Michigan) to get their interest and support in mentoring before making application Modes
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degree (M.D., M.B.B.S., or equivalent. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It
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Apply Now How to Apply Applicants must submit TWO separate applications: one to the President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu/ppfp-application.php
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) Applications are due on November 18, 2025. If you have questions about how to apply, please contact Taubman College HR at taubmancollegehr@umich.edu. Job Summary The Architecture Program at the University
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials