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Program Postdoctoral Fellowship The Duke Division of Gastroenterology is seeking applicants for a two-year post-doctoral fellowship within the Duke Gastroenterology Research Training Program. This position
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the team. The preferred starting date is 1 December 2025. Profile You hold a PhD in Computer Science, Physics, Engineering or a discipline equally relevant to the topic of the job, or can demonstrate
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experiences and individual differences, as well as cognitive modeling of decision-making in both lab and realworld settings. Successful candidates will be supported in building a research program at the
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, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in infectious disease epidemiology
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associated with plutonium-238 production. Opportunities will be available for the successful candidate to support other areas of the program, including material processing and separations. IARG is a
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. Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27
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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science
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scientific areas. We educate both Bachelors and Masters of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs