38 computer-programmer-"FEMTO-ST"-"FEMTO-ST" Fellowship positions at University of Michigan
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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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) 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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to facilitate a multifaceted Digital Scholarship Fellows program. This program, which will comprise student, faculty, and community fellows, will offer a way for the Digital Scholarship program to meet existing
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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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. This is an advanced clinical training program beginning February 3, 2026, and ending February 2, 2027, with an opportunity to extend for a second year. The mission of this Post-MSW graduate training program
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high level of professional expertise through familiarity with current scientific literature. As needed, develop innovative techniques and experimental systems to meet research program goals. Scientific
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. Experience in electrophysiology, however, is considered a particularly important strength.. The department of Molecular and Integrative Physiology (MIP) runs a structured professional development program for
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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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, evidence-based care for musculoskeletal injuries and conditions. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences