7 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions at Lawrence Berkeley National Laboratory
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-design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data processing, including HPC job
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other acceptable form of identification is required to access Berkeley Lab sites (for more information click here ). This position will be cleared to level Q. Applicants selected will be subject to a
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: Experience with fitting parametric models to neural population data. Experience with high-performance computing. Notes: This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal
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to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific
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accessible gate-based quantum computer. Our technology platform is based on superconducting quantum circuit processors, and we aim to generate the detailed experimental findings needed to resolve foundational
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National Lab's (LBNL ) Physics Division has an opening for a Postdoctoral Fellow to join the team. This position will focus on advancing theoretical frameworks for quantum-limited and quantum-enhanced
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less than 3 years of paid postdoctoral experience. Salary Information: This position is represented by a union for collective bargaining purposes. Postdoctoral Fellow positions are paid on a step