36 machine-learning "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United States
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mathematics, computer science, electrical engineering, machine learning, optimization, statistics, etc.) and specific domain area. Finalists will be paired with mentors by the search committee, facilitating a
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intelligence and machine learning Food is Medicine policy analysis, evidence synthesis, and simulation modeling, including impacts on health, costs, and cost-effectiveness Strengthening nutrition security in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory Science – Leveraging drug development and regulatory
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, computational statistics, or scientific machine learning. Substantial knowledge of the physical sciences and advanced scientific computing. Strong experience in interdisciplinary research involving mathematicians
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closely related field (e.g. Chemistry, Physics, Biophysics, Biochemistry, Molecular biology, etc) Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA
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Tool (SWAT model), and/or Noah Land Surface Model with Multi-Parameterization Options (Noah-MP model). Experience in either developing or applying Artificial Intelligence and Machine Learning tools and
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Annual Report Individual Appointment Advising Our Programs & Resources Events Upcoming Events Learn about our events Ph.D. Career Stories ASPIRE UP: A Career and Professional Development Series
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
abreast of current negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/index.html • High quality and low-cost medical plans to choose
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
scholars, and uniquely supportive learning environment combine for an excellent legal education. The Law School consistently places among the best in the U.S. News and World Report and other law school
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the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values. Why Work