168 computational-physics "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs
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, in a relevant field, such as bioinformatics, statistics, genomics, applied mathematics, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Pharmacology T32 Postdoctoral Training Program Vacancy ID PDS004510 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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the cross-campus Astrobiology Program , and the postdoctoral scholar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative
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apply. For more information, please visit the University of Washington Labor Relations website (https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract). The base salary
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protected class under applicable state and federal laws and regulations. All qualified applicants will receive equal consideration for employment. Export Control Statement In compliance with applicable U.S
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
. The School was named the number one School of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself
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EPAR, please see: https://epar.evans.uw.edu/ The Postdoctoral Scholar will provide support on current contracts that involve constructing agricultural indicators and doing analyses associated with
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recurrent infections. Our research projects are highly translational and will be conducted in collaboration with esteemed scientists from Genentech Inc. and computational experts from the University
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques