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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
research in core/edge modeling, scenario optimization and experimental interpretation in the SPARC tokamak; lead the efforts of creating a platform to analyze experimental data in SPARC early campaign
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, experimentation and modelling. The research aeras are structured through 4 main unifying themes: Interiors of the Earth and Planets, Natural Hazards, Earth System and Origins. The IPGP is in charge of labelled
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public
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on bacterial and archaeal communities to investigate their temporal dynamics Assembly of defined synthetic microbial communities Development and optimization of workflows for the efficient bulk deposition
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CORE A*/A conference paper. Ensuring the safety and longevity of nuclear reactors requires structural materials that can maintain integrity under extreme thermal, mechanical, and irradiation environments
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articles, and assist with mentoring students. Isborn group The position will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model the CISS effect in
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theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation
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partners, and other national laboratories. Objective: Enhance THAPI: Extend and optimize the THAPI profiler (https://github.com/argonne-lcf/THAPI ) to concurrently profile AI/ML and ModSim components
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(based for instance on classical and/or ab initio molecular dynamics, combined with ONIOM-type QM/MM approaches) to gain deeper insight into the structure of the HFIP solvent, its coordination properties