23 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Lawrence Berkeley National Laboratory
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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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recognized four year apprenticeship program in plant maintenance or completion of an accredited two-year program with two years of work experience; or an equivalent combination of documentable military or
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data analysis, simulation, and machine learning, integrating resources across multiple facilities. NERSC's next major supercomputer, Doudna, will combine next generation GPUs, networking and storage
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methodology Assist with code optimization and integration into Department of Energy (DOE's) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent
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python. Experience with machine-learning, such as training large language models. Required Application Materials: CV Cover Letter (1 page) Publication List Additional information: Application date
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studies on quantum materials and complex oxides, with an emphasis on microelectronics applications. In addition to experimental work, the role includes applying machine-learning and AI-based approaches
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Mandatory 3 Years of Postdoctoral research experience or equivalent research experience. Past Experience in either Machine learning accelerators or SRAM array design or basic blocks of processor at transistor
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recognized four year apprenticeship program in plant maintenance or completion of an accredited two-year program with two years of work experience; or an equivalent combination of documentable military or