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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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computational approaches for challenging problems in environmental and engineering sciences. Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies
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modeling Qualifications Applicants should have a Ph.D. in mathematics, applied mathematics, computer science, engineering, computational science, physics, or a closely related field by the start date
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will hold a PhD/DPhil (or be near completion) in Bioinformatics, Statistics, Mathematics, Computational Biology, or a closely related discipline, with sufficient specialist knowledge to contribute
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP How to Apply Please visit https://orise.orau.gov/netl/ to learn more about the program and the application process
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About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group (OVG) as part of the Correlates
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, the NNSA's Minority Educational Institution Student Partnership Program , and the NSF's Mathematical Sciences Graduate Internship . Eligible applicants are encouraged to apply to all opportunities of interest
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collaborations, market and regulatory analysis, technology transfer, and more. Click through to learn more about each area: Strategic Systems Analysis and Engineering Energy Conversion Engineering Computational
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, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong foundation in linear algebra (tensor
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rich cultural and outdoor offerings. Minimum Qualifications Ph.D. (or equivalent) in Computer Science, Applied Mathematics, Statistics, Computational Biology, Biophysics, Engineering, or a related