42 phd-in-computational-mechanics-"St"-"FEMTO-ST" Fellowship positions at University of Michigan
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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approaches, our goal is to elucidate the molecular mechanisms underlying RAN translation and its contribution to neurodegeneration. Mission Statement Michigan Medicine improves the health of patients
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development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
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Qualifications* This selected candidate must hold a PhD or an equivalent degree and have a minimum of 2-4 years of experience in cellular and molecular biology, possess strong analytical and problem-solving skills
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Apply Now Job Summary The Tewari Lab within the Department of Internal Medicine is looking for a postdoctoral research fellow interested in exploring innate immunity mechanisms and the effect
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contribution to society. Required Qualifications* PhD in computer science, computational biology, or related quantitative fields. Strong oral and written communication skills Desired Qualifications* Generative
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on December 14, 2025. All applicants are required to submit the following: A brief cover letter (max two pages) that includes a summary of the applicant's PhD research and career goals and outlines how an Erb