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architectures for science Developing and advancing extreme-scale scientific data management, analysis, and visualization Developing and advancing next-generation machine learning, AI, and data science approaches
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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
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Lawrence Berkeley 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
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, cross country, field hockey, golf, gymnastics, lacrosse, soccer, softball, swimming & diving, tennis, track & field, volleyball or water polo. The position will also entail assistance with such sports as
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Qualifications Minimum Qualifications - For full consideration, applicants are encouraged to upload license and/or certification if required of the position Bachelor's degree in related area and / or equivalent
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University of California, Berkeley, Physics Dept - Berkeley Center for Cosmological Physics (BCCP) Position ID: UCBerkeleyLBNL -Physics Dept - Berkeley Center for Cosmological Physics (BCCP