29 parallel-computing "University Hospital" Fellowship positions at University of Michigan
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Apply Now How to Apply All application materials must be submitted here to this Interfolio listing:https://apply.interfolio.com/187576 . Only materials submitted through the Interfolio link will be reviewed. Do not submit materials on this website using any of the apply now links on this...
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Public Policy (STPP) program at the Gerald R. Ford School of Public Policy has recently launched the Michigan Science, Technology, and Public Policy (MiST) Fellowship program, which embeds fellows in
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sensory feedback via electrical stimulation. The overall goal of this research program is to assess whether RPNIs can enable individuals with lower and upper limb amputation to achieve meaningful, multi
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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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the supervision of Prof. Sherif El-Tawil (Civil Engineering) and Atul Prakash (Computer Science), the successful candidate will serve as a key architect for an AI-enabled urban operations simulation platform
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administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. Contact Information Questions about the fellowship program may be directed to Dr
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are required to work with an ETEP mentor or an ETEP mentoring team. A letter of support from the mentor(s) must accompany the application materials. Applicants are strongly encouraged to discuss the program with
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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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in the position and outline skills and experience that directly relate to this position. Job Summary Electrical and Computer Engineering is looking for a Postdoctoral Fellow for a full year (12 months
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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