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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's
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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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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-mechanical-chemical (THMC
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phases of the scientific lifecycle, supporting the efficiency and effectiveness of capabilities for data analysis, data management, data storage, computation, machine learning, and related IT needs
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for software bugs. Provide effective line management to a group of approximately 10 Computer Systems Engineers by hiring excellent staff and working closely with SSG staff members. Ensure staff are meeting goals
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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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requires a high-degree of team work and interdisciplinary activities. What You Will Do: Perform research in machine learning methods based on control theory applied to problems in neuroscience. Prepare write
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teams by transforming conceptual ideas into complete 3D Computer-Aided Design (CAD) models and detailed 2D drawings. These models and drawings are critical to the manufacturing, fabrication, and
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-binding approaches. Proficiency with major simulation packages such as ASE, Quantum ESPRESSO, VASP, CP2K, or LAMMPS, and their Python interfaces. Working knowledge of machine learning techniques in
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) to define and execute mechanical design solutions. Effectively communicates design intent using GD&T to internal and external fabrication teams. Demonstrated adaptability in learning and applying new tools