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Field
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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, cartography, data visualization, data wrangling, GIS, programming, and/or web development. • Ability to think creatively, solve problems, and work well in a diverse, collaborative setting. • Ability to use
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Posted on Mon, 08/04/2025 - 11:14 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wolak, Frank Stanford Departments and Centers: FSI Program on Energy and Sustainable Development
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. Devote 40-50% research time to 1 of the 3 areas. Use 50% research time freely to develop independent interests aligned with lab’s research topics including Arginylation, Cell Engineering, Chemical
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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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) is facilitating the development of responsible “habits of mind and action” for those who create and deploy computing technologies and foster the creation of technologies in the public interest
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processes and procedures in the PI laboratory. Assists in the acquisition and analysis of data. Supports PI’s plans, developments, and implementations of laboratory and research studies. Assists with
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics