356 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United States
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, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics
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in a fast paced, highly acute Emergency Department that sees close to 100,000 patients/year. The program is 12 months long with both didactic and hands on learning. The successful candidate will
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efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all
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in a fast paced, highly acute Emergency Department that sees close to 100,000 patients/year. The program is 12 months long with both didactic and hands on learning. The successful candidate will
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reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . U-M EEO Statement The University of Michigan
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opportunity employer. To learn more about our Comprehensive Benefits, pleaseCLICK HERE .
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protected by applicable law. Please visit their website to learn more. Open Until Filled Yes References required for this position? Yes If yes, minimum number requested 3
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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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of employment. Learn more about the work modes . Background Screening The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement