11 Mathematics "University of North Carolina Wilmington" Postdoctoral positions in USA
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Post Doctoral Fellow - (STA014831) Organization : H0110 Mathematics Description Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and
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req18787 Department Mathematics Department Website Link https://www.math.arizona.edu Location Main Campus Address Tucson, AZ USA Position Highlights The Department of Mathematics at the University of Arizona
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Berkeley Lab’s Applied Mathematics and Computational Research Division seeks a Postdoctoral Scholar with expertise in AI and foundation models (e.g., LLMs) for knowledge discovery. A background in
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mathematics are particularly encouraged to apply. Experience with climate model analysis, modern statistical methods, and processing/analyzing large data sets and model outputs is needed. Expertise in
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applied mathematics are particularly encouraged to apply. Experience with climate model analysis and simulation, and processing/analyzing large data sets and model outputs is needed. Candidates with
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Details Posted: 15-Jun-24 Location: Los Angeles, California Salary: Open Categories: Staff/Administrative Internal Number: REQ20150374 School: Keck School of Medicine - Institute for Technology and Medical Systems Position: Postdoctoral Scholar Research Associate This is a full-time, fixed term...
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molecular biology, quantitative genetics, mathematical modeling, or statistical genomics is required. Only persons currently legally able to work in the US will be considered. Preferences: Preference may be
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Engineering, Chemistry, Physics, Mathematics, or related field from an accredited institution of higher education, conferred by the start of employment Experience with programming in Python Preferred
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engineering, applied mathematics, physics, or related field with an evidence of understanding nuclear nonproliferation and/or the nuclear fuel cycle. Experience applying machine learning techniques to problems
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, mathematics, atmospheric science, ecology, engineering). Proficient programming skills in at least one major scientific computing language (e.g. Fortran, Python, Julia, C++, etc.). Strong quantitative and data