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the Michigan Institute for Computational Discovery & Engineering (MICDE). World-Class Infrastructure: Access to high-performance computing resources, advanced AI testbeds, and state-of-the-art testing facilities
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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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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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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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disproportionately affect women and remain poorly served by existing diagnostic tools. This is a rare opportunity to join a high-impact, well-funded program doing science that matters. This postdoctoral position
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of faceted, nonspherical particles. Graph-based descriptors will be constructed from X-ray-based 3D in-situ characterization methods, including High-Energy Diffraction Microscopy and Micro-Computed Tomography
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++, or related languages Experience with high-performance computing or scalable algorithms Interest in interdisciplinary research spanning genomics and evolutionary biology Modes of Work The position is on-site in
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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 Institute is focused on addressing