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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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-of-the-art instrumentation for a broad range of nanoscience research, including nanomaterials synthesis, nanofabrication, imaging/microscopy/characterization, data analytics, and theory/modeling/simulation
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. The goal of this work is to investigate the dynamics of beams with intense space charge and benchmark simulation models against experimental results. As a U.S. Department of Energy (DOE) Office of Science
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or machine learning potentials (iv) modeling of the solid and aqueous interfaces. Research proposal or concept writing experience. Programming experience for workflow development and scientific computing
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research analysis on geothermal well development and other advanced energy technologies that could achieve transformative gains in energy efficiency. Ability to develop optimization and life cycle models
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technology; collaborates with members of other data-intensive groups at ORNL to provide cross-discipline approaches; sets, implements, and models standards for performance of work consistent with Environment
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at the forefront of science and technology; informs R&D to advance the field of knowledge and/or technology in one’s respective specialty; sets, implements, and models standards for performance of work consistent
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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have the following main duties and responsibilities: Develop computational fluid dynamics models for steady state and transient analyses in both conventional light water reactors and advanced next
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. Traditional and object-oriented programming. Model View Controller concept. SAP ABAP (classic and object-oriented), SAP Business Server Pages (BSPs), SAP WebDynpro and SAP WebRFC technologies. SAP Cloud