36 parallel-computing-numerical-methods-"Prof" Fellowship positions at University of Michigan in United States
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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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, reviews progress and evaluates results. Formulates research methods and suggests options for improving quality, identifies potential problems, recommends, and implements solutions. Trains users in equipment
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. Erb Institute for Global Sustainable Enterprise at the University of Michigan is a joint program between the Stephen M. Ross School of Business and the School for Environment and Sustainability. The Erb
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data with behavioral and/or cognitive data in diverse study populations. Required Qualifications* Established record of peer-reviewed scientific publication. Prior experience / comfort with computer
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these methods with minimal supervision. The position must effectively interact with computational biologists for input and feedback, establish effective workflows for data analysis, and effectively convey results
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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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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
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assays, histological techniques, and related tissue-based methods. Hands-on experience with in vivo PET imaging, including animal handling, radiotracer injection, and data acquisition/analysis. Strong
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. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is integral to its mission and vision of leading advances in
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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