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genomics with advanced computational and AI approaches to develop biologically interpretable clinical models. The study has two complementary aims: Multi-omics discovery in solid tumors - Discover disease
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), if applicable. A Research Statement (1-2 pages) highlighting your AI background and vision for human-agentic teaming in complex physical systems. Contact information for three professional references. Who We
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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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relevant social science field Training or professional experience in education policy, program evaluation, school improvement, K-12 education systems, or a related area Experience with qualitative or mixed
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, diverse group Experience working with standard computer software Previous experience working with and caring for rodents Excellent technical skills for bench work including gene expression analysis, immune
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of Michigan is expanding a nationally and internationally funded research program at the cutting edge of cardiovascular medicine. Led by Drs. Venkatesh Murthy and Sascha Goonewardena - whose work has appeared
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Engineering, Computer Science, or a related field. Proven experience working with wireless sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision
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of reference (submitted separately by referees) Applicants must also apply directly through the University of Michigan President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu
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of reference (submitted separately by referees) Applicants must also apply directly through the University of Michigan President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu
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slow aging and extend the healthy lifespan in genetically heterogenous mice. The Kaczorowski lab utilizes cutting edge neuroanatomical, neuroimaging, computational, and behavioral genetic approaches