34 systems-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs at Brown University
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of Earth, Environmental and Planetary Sciences invites applications for a University Fellowship in Earth, Environmental and Planetary Sciences. This competitive postdoctoral fellowship will be awarded for a
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Number: 179364 A new theoretical chemistry group at Brown, led by Prof. Matthew Coley-O'Rourke, is seeking to hire a postdoctoral scholar. The position will primarily focus on method development
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knowledge of laboratory approaches and techniques in the areas of Molecular, Cell Biology and Biochemistry required. Experience working with mouse colonies Strong computer skills with experience with
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collaboration with the climate sciences, brain science, and/or computer science. For more information on co-advisors' research areas, refer to: https://copsy.brown.edu/research/focus-areas , https
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-reviewed publications. Fieldwork associated with the projects is possible, and discretionary research funds of up to $2,000 will be provided. Postdoctoral Research Associates receive a salary of $68,000; a
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affordability and value. The Research Assistant position is ideal for candidates with an interest in economics, health services research, medicine, and related fields and who have plans for doctoral studies after
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, Executive Master of Healthcare Leadership and the IE Brown Executive MBA. Connections working at Brown University More Jobs from This Employer https://main.hercjobs.org/jobs/22155940/research-assistant Return
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at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
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) strong statistical skills and programming skills (experience with R is particularly desirable); (d) a background or prior experience in AI, computer science, or AI?s role in systematic reviews; (e) strong
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the intensive sampling period, ecological momentary assessment, and wearable technology in combination with predictive algorithms. This research study is being conducted in collaboration with the RI Resilience