51 condition-monitoring-machine-learning Fellowship positions at University of Michigan
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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 the hiring 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
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; treat others with respect, and dignity, and in a manner where individuals feel they belong; listen; value feedback; and learn from the perspectives of others. The stipend will be $70,000 per year based
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change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information Two-year postdoc with option to renew. Background Screening Michigan
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, throughout the course of employment. Learn more about the work modes . Background Screening Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance
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for any reason, throughout the course of employment. Learn more about the work modes . Background Screening Michigan Medicine conducts background screening and pre-employment drug testing on job
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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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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 and pre-employment drug
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to advance ongoing research and develop innovative research programs that lay the foundation for their future independent laboratories. Learn More About Us Why Work at Michigan? The Yadlapalli Lab offers a
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Apply Now Job Summary In this position, the candidates will learn strategies and techniques for LC-MS analysis, drug optimization and lead drug candidate selection, pharmacokinetics and drug