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Mathematics, or a related field, awarded within the last five years Programming experience in one or more of Python, C++, Fortran, or Julia Knowledge of high-performance and parallel computing Experience
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The National Energy Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher — Scientific Machine Learning (NESAP) to join the Workflow
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communication skills. Desired Qualifications: Experience with fitting parametric models to neural population data. Experience with high-performance computing. Notes: This is a full-time, 2 years, postdoctoral
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the DOE national laboratory complex. Promote a safe, inclusive, high-performing research environment. Participate in NextGen programming in scientific leadership, project management, nuclear
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the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002
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• Demonstrated experience in computational or quantitative research methods. • Strong programming skills in Python. • Experience with high-performance computing, geospatial data, and causal inference methods
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. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking into consideration protective interventions
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fashion that others can easily understand and utilize. Mathematical skills required to perform routine calculations and prepare chemical solutions. Demonstrated ability to recognize problems and consult
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contingent upon performance and availability of funding. Application Window Open date: October 6, 2025 Next review date: Saturday, Nov 15, 2025 at 11:59pm (Pacific Time) Apply by this date to ensure full
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to provide a full-time training program of advanced academic preparation and research training under the mentorship of a faculty member. Applications are welcome from all areas of theoretical physics, broadly