48 phd-position-in-database-modeling Fellowship positions at University of Michigan in United States
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manuscript(s) and/or papers from a dissertation thesis. Applications will be reviewed on a rolling basis and accepted until the position is filled. Job openings are posted for a minimum of seven calendar days
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Apply Now Job Summary A postdoctoral research fellow position is open in the newly formed Michigan Institute for Imaging Technology and Translation (MIITT) in the Department of Radiology
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previous and current research as well as skills that directly relate to this position. Letters of recommendation from two professional references will also be required. Curriculum Vitae Job Summary The
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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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Apply Now Required Qualifications* A PhD is required for this position. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department
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who have left the lab have gone on to successful careers as independent investigators. Fourteen hold leadership positions, including as department, division, or research center chairs. In
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resistance, utilizing human and murine cells, orthotopic models, and Genetically Engineered Mouse Models (GEMMs). We are seeking a motivated and hard-working scientist with strong project leadership and
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interests and career goals, including research accomplishments and how this position relates to future research plans (1-2 pages). Curriculum Vitae (CV) including a list of publications. Contact information
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, such as Seurat and Scanpy. Experience with machine learning models, such as transformer and diffusion models. Strong written and oral communication skills. Modes of Work Positions that are eligible
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology