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National Lab's (LBNL ) NERSC Division has an opening for a Machine Learning Engineer to join the team. In this exciting role, you will serve as a Machine Learning Engineer in NERSC's Data and AI Services
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and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data
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science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI
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results to the research group. Develop and apply numerical methods, including machine learning tools, to improve understanding of hydro biogeochemical processes, such as evapotranspiration and carbon
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for the U.S. Department of Energy's (DOE ) Joint Genome Institute. You will be responsible for managing engagements with external partners, including JGI's computer infrastructure providers and collaborative
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systems and GPU-accelerated processing. Proficient in computing languages for software/hardware integration, data analysis, networking; specifically, Python and C/C++. Proficient with Linux computer systems