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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 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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will be part of an integrated team of quantum algorithm developers, physicists, mathematicians and computer scientists that will design and deliver novel algorithms, error mitigation and compiling
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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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, including the development and management of industry engagement initiatives. Knowledge of and/or can quickly learn University-specific computer application systems for Admissions and Advising Thorough
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., statistical modeling, geospatial analysis, machine learning) to language research. Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V. Cover Letter Statement
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: The Major and Minor in Education programs; The Masters in Education and California Teacher Credential programs; and the PhD in Education program. The Masters/Credential program is unique in
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
requirements, and changing priorities. Skills to prepare data presentation and marketing materials based on intended audience (colleagues, faculty, students, employers, etc.). Advanced computer skills in
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electrical engineering, physics, computer systems, or related field (PhD preferred). 4+ years of relevant experience beyond Master’s; 5+ years in beam diagnostics/instrumentation preferred. 3–5 years
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of hire Graduation with a master’s degree or PhD from an accredited Physician Assistant program, or completion of certified Physician Assistant training from an accredited program Clinical experience in