82 programming-"Multiple"-"U"-"Washington-University-in-St"-"O.P" "U.S" Postdoctoral positions
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control) due to multiple interacting disturbances such as wildfires, drought, and insect outbreaks. The researcher will apply and adapt a spatially explicit multi-hazard risk assessment framework developed
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Partnership . The base salary range for this position will be $4480-5250/month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Other
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. The College of the Environment, including its six Schools and Departments and multiple programs, institutes, and centers, connects educators, researchers, students and citizens, cultivating communities
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 month ago
. Application Deadline 7/29/2025 11:59:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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in peer-reviewed journals in a timely manner Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing
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Programs Plus More! Additional Perks: Rollins College is conveniently located on multiple Lynx Bus Routes (Winter Park/Rosemont-9 & Winter Park/Springs Village-23) and within walking distance from
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includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred
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an interdisciplinary team across multiple institutions and who understands the level of detail needed to develop predictive models for in vitro to in vivo extrapolation and chemical risk assessment. Our team’s long