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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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Engineering Agricultural and Resource Economics Computational Science Biological Engineering Water Resources Plant Science Food Science Applied Ecology Renewable Energy Electrical Engineering and Computer
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, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts
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, supported by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees supported by the NIH T32 AIPrN training program. This training program represents the first institutional training
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14853, United States of America [map ] Subject Areas: Epidemiology Public Health Nutrition Bioinformatics / Clinical , Computer Science , Mathematics , statistics Medicine (more...) Data Science Salary
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to poverty alleviation, support for the elderly and disadvantaged children and youth, public health, and human rights. The postdoctoral program is designed to provide support through collaborations with
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by furthering scholarship and research in areas related to poverty alleviation, support for the elderly and disadvantaged children and youth, public health, and human rights. The postdoctoral program
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health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research