54 software-verification-computer-science-"Prof" 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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stem cells to self-regulate their phenotype, systems-level evaluation of stem cell chondrogenesis and maturation, and whole knee biomechanics. We are looking for a diligent, talented, and self-motivated
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to these research goals and interests. The ideal candidate for this position would have a Ph.D. in Robotics and Engineering. The candidate should have substantial experience in human subjects experiments, and
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programming is a plus. Required Qualifications* Ph.D. degree in biomedical engineering, medical physics, electrical engineering, computer science, neuroscience, or equivalent disciplines. Good written and
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junior lab members Proficiency in Microsoft Office, GraphPad, and other scientific software programs Desired Qualifications* Molecular biology, Cancer biology, and immunology research lab experience
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reflected on your resume. How will that contribute to your success in the BI Innovation Fellowship Program? iii) Outside the scope of your research where you had to problem-solve and demonstrate leadership
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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
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from sociology, anthropology, economics, psychology, information and computer science, statistics, geography, public policy, public health, and medicine, among others. SRC is a unique, world-renowned
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in the position and outline skills and experience that directly relate to this position. Job Summary The Materials Science and Engineering Department is seeking a Research Fellow who will be tasked
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab