1,011 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" Fellowship research jobs in United States
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attenuated centrin deleted Leishmania major parasites (LmCen-/-) using transcriptomic and metabolomic approaches. Learning Objectives: The opportunity to contribute on this project will allow you to acquire
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committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff
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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
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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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 of a contingent job offer
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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 and pre
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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organs for transplantation from deceased organ donors (including machine perfusion of donor livers and normothermic regional perfusion). Fellows will also be mentored in the preoperative evaluation
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expected to learn both independently and collaboratively within a multidisciplinary research team, contribute to experimental design and data analysis, publish findings in peer-reviewed journals, and
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 11 days ago
systems that manage scientific and regulatory information. The fellow will collaborate with cross-functional teams to translate complex requirements into intuitive and accessible user interfaces. Learning