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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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storage. Skills in computer programming such as Python, MS Excel, Excel VBA, MATLAB, mathematical optimization tools. Skilled oral and written communication skills at levels of the organization. Ability
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storage. . Skills in computer programming such as Python, MS Excel, Excel VBA, MATLAB, mathematical optimization tools. Skilled oral and written communication skills at levels of the organization. Ability
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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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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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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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sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information
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Basic Qualifications: A Ph.D. in computer science, applied mathematics, plant biology, or related fields. Applicants cannot have received the most recent degree more than five years prior to the date