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computing and data analysis for the Department of Energy's (DOE) Office of Science programs. NERSC is searching for a knowledgeable and inspired group leader for the Storage Systems Group who will be
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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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conferences. Engage in community knowledge-sharing (e.g. tutorials for the NERSC user base). What is Required: PhD awarded within the last five years in Physics, Computational Chemistry, Computational Science
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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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, at Level 3: Bachelor's degree in Physical Sciences, Computer Science or related field or equivalent is required. Masters and PhD degrees in similar disciplines are preferred. Typically requires a minimum of
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last five years
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development. Engage in seminars, workshops, and group meetings to broaden scientific perspective and support growth. What is Required: PhD in a technical field such as chemistry, physics, materials science
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Required, at Level 3: Bachelor's degree in Physical Sciences, Computer Science or related field or equivalent is required. Masters and PhD degrees in similar disciplines are preferred. Typically requires a