52 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship research jobs at University of Michigan
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, machine learning and AI-based computational tools to advance biomedical as well as oncology research. The fellow will work under the supervision of Dr. Veera Baladandayuthapani and there will be
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. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image
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of design and fabrication of medical devices, 3D printing, microfluidics, mechanics of materials, biomaterials, blood-material interactions, computer aided design, and/or in vitro/in vivo evaluation
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culture. Must be experienced working with laboratory mice. Must be willing and able to learn to assist with medication administration, surgical procedures, post-operative monitoring, and sample collection
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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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, 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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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 and pre
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at the discretion 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
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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 . Additional
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subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information Why join us? Work at a world-class institution recognized