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improvements in different production traits. In parallel, a single cell atlas for turkey immune organs will be developed for use in downstream gene editing applications. Learning Objectives: The fellow will
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heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
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to manage multiple projects in parallel. Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner. Computer literacy, including the ability to use a variety of
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Description We work with scientists in other NIST laboratories to develop tools for computer simulation and analysis of magnetic systems at the nanometer scale. Model verification is achieved by comparison
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handling. Analytical, reasoning and problem-solving skills. Ability to work in an intense and deadline-focused environment. Ability to manage multiple projects in parallel. Ability to analyze and interpret
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, enhanced sampling, QM/MM) Experience improving performance and scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation
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education with an enrollment of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer programs. This position provides managerial support and law enforcement
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of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer programs. This position will instruct students on skill-sets that are to specified American Welding Society
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-optimization of industrial end-use systems and energy supply systems. Build reproducible computational workflows for data processing, model development, calibration, validation, and scenario analysis. Develop
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strategies that promote best practices in research data management throughout the research process, ensuring compliance with funder and publisher requirements while fostering open science and reproducibility