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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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(generally July or September). Please direct questions and send all application materials via email to [email protected] . Job Summary The fellowship program aims to train fellows to conduct impactful
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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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) Familiarity with cancer genomics datasets and publicly available resources (TCGA, GEO, cBioPortal) Experience with high-performance computing environments (SLURM, AWS, or equivalent) Prior involvement in grant
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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
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contributes to neurodegenerative, neuropsychiatric, and neurodevelopmental disorders. Our work spans Drosophila, mouse, and human systems, combining high-throughput genetics, single-cell and spatial
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high level of professional expertise through familiarity with current scientific literature. As needed, develop innovative techniques and experimental systems to meet research program goals. Scientific