80 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of Michigan
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Apply Now How to Apply Apply through http://careers.umich.edu/ (click on “APPLY NOW” box on the upper right corner of this page). Applications will only be accepted from current graduate students
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Apply Now How to Apply Apply through http://careers.umich.edu/ (click on “APPLY NOW” box on the upper right corner of this page). Applications will only be accepted from current graduate students
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. Please visit the lab webpage https://sites.google.com/umich.edu/limbachlab Who We Are Vision: We aspire to be the world's preeminent college of engineering serving the common good. Mission: Michigan
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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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automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab
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will have opportunities to take projects with them to their independent position. Lab website: https://sites.google.com/umich.edu/helmslab Mission Statement Michigan Medicine improves the health
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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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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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discipline or a related field - Strong demonstrated verbal and written communication skills Desired Qualifications* - Familiarity with manufacturing systems and processes - Experience with machine learning and