53 web-programmer-developer-"PhD-Jobs.NET" Fellowship positions at University of Michigan in United States
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to identify a research focus and develop a career development and mentoring plan. Successful candidates may come from a wide range of disciplinary backgrounds and have prior experience working in clinical
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goals of establishing their own independent research program. Responsibilities* Plan, coordinate, execute, and disseminate basic-science research focused on tendon, bone, and muscle development and
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this position. Attach a full CV. Job Summary The Cartilage Healing and Regeneration (CHaRM) lab at Michigan addresses one of the prevalent causes of OA development, unrepaired traumatic articular cartilage injury
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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. Responsibilities* The successful candidate will be able to plan, develop, execute, and analyze an independent research project in the context of a supportive lab and institutional environment. In addition, they will
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on the design and development of power electronics, active harmonic filters and advanced control systems. The position is supported by Michigan Translational Research & Commercialization (MTRAC) Advanced
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for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of applied
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when