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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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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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imaging, imaging biomarkers, radiomics, LROC, ROC, Image perception, mathematical/computational observer models. Both experimental and computational positions available. Skills preferred include any
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of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating
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science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical
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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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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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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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sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information