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studies on quantum materials and complex oxides, with an emphasis on microelectronics applications. In addition to experimental work, the role includes applying machine-learning and AI-based approaches
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in the preparation of proposals for funding. Mentor graduate students and postdocs. We are looking for: PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
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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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instrumentation and Software development experience in a multidisciplinary environment. Desired skills/knowledge: Working knowledge of Machine Learning methods applied to scientific data and self-driving laboratory
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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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team of quantum algorithm developers, physicists, mathematicians and computer scientists that will design and deliver novel algorithms, error mitigation and compiling techniques for DOE relevant science
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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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at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on your level skills and experience. What you'll do, at Level 3: Develop AI storage and I/O services on NERSC's advanced computing and data systems