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simulation codes, including computational scaling and efficiency, for hybrid exascale supercomputing systems. Programming model for multicore and heterogeneous architectures such as graphical processing units
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and modify open-source codes to develop technical solutions and explore integrated design and optimization of tritium breeding blanket systems and related component designs. The successful candidate
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Scientist you will be responsible for: Developing high-quality code following best practices in the community for documentation, provenance, version control, etc. Participating in research projects in AI
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., code interpreters, simulation frameworks, databases, lab instruments) and evaluation for long-horizon tasks. Experience with RL and post-training (reward modeling, preference learning, offline/online RL
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for grid resilience assessments, such as NERC CIP standards, as well as equity frameworks and methodologies. Experience working collaboratively in version control systems for source code management such as