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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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science, computational sciences, or mathematics is preferred. Knowledge required includes machine learning and statistical methods, proficiency in programming with C, C++, and Python, familiarity with Cloud systems and
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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
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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