41 phd-in-computational-mechanics-"Prof"-"Prof" Fellowship positions at University of Michigan
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research in our laboratory is focused on understanding the molecular mechanisms underlying aortic aneurysm and valve disease. Utilizing a variety of approaches including stem cell biology, gene editing
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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large physical modeling basin which serves as a vital resource. Required Qualifications* A doctoral degree in Mechanical, Aerospace, Naval Architecture & Marine Engineering, Scientific Computation
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contributions to musculoskeletal mechanobiology and regeneration program, specifically focused on using in vivo optogenetic and transgenic tools to understand developmental processes, mechanical adaptation
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ranges from reprogramming intracellular signaling of cells to modeling whole joint mechanics to understand and modify these systems at their respective length scales. Our research focuses on engineering
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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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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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postdoctors to work on ongoing bioinorganic chemistry and biochemistry projects on the enzymatic and bioinorganic mechanism of microbial carbon dioxide fixation, heme metabolism, or on methane making/breaking
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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