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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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Lawrence Berkeley 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
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processing. · Ability to perform clerical functions for scheduling, triaging, reporting, and billing. · Skills in using computer for email, scheduling, transcription, and registration. · Ability to operate all
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Position Summary The University of California Los Angeles (UCLA) is seeking a highly motivated and creative machine learning scientist with expertise in image segmentation. The selected candidate
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Spend Your Summer Learning and Earning at One of the World's Leading Centers for Computational Science! Berkeley Lab, located in Berkeley, CA, is a world leader in computing, biological, physical
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, implementation, and testing of a wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro
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the latest trends in computer security research, machine learning, and artificial intelligence. Being proficient in Python is a requirement. Being proficient in the deployment of cloud-based infrastructures is
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tasks Ability to satisfactorily perform job duties as defined in the job description Willingness to be taught/learn new skills Basic computer skills The flexibility to orient and work at all UCSF Health
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the collective bargaining agreement. The salary range for this position is $31.91 - $45.70 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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cooperation with the Supervisor; follow through to ensure the problem is resolved to the satisfaction of all parties. Proficiently operates computer systems, including DDE, MC00, HDX, AEVS used for registration