51 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions at University of Michigan
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medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Researching and developing novel machine learning architectures for integration across
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* Experience with image analysis or medical imaging Established record of peer-reviewed scientific publication Prior experience / comfort with computer programming is a plus Modes of Work Positions that
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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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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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, and in developing leaders and citizens who will challenge the present and enrich the future. The University of Michigan is committed to foster learning, creativity and productivity, and to support the
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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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minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Background Screening Michigan Medicine conducts background screening
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agreements are 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 . Background Screening Michigan
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. Work agreements are 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 . Additional Information
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department. Work agreements are 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 . Background