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trait databases TRY, FRED, LeafWeb, Sapfluxnet, PSInet) to translate trait variation into model parameter priors and functional constraints, and to explore parameter relationships with environmental
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thermophysical behavior of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems
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flow modeling across material, device, and process scales Plan and execute experiments to support and augment modeling efforts Conduct simulations using state-of-the-art tools to supplement model
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defenses in Large Language Models (LLMs). Distributed Machine Learning : Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments
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associated with the brittle-to-ductile transition Assist with developing additional concepts and tests to estimate shear strength Develop model(s) to correlate to experimentally observed responses Present and
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, characterization of isotopic content of nuclear materials, and detector response to radiation sources. Model conceptual advanced reactors and their subsystems. Evaluate safeguards metrics during
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Engineering at Scale : Profile, model, and optimize distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross
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, algorithm design, probability theory, privacy definitions, and apply it to develop efficient privacy preserved federated learning model. Communicate and coordinate experimental results with other
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accomplish multiple tasks within deadlines and adapt to ever-changing needs Preferred Qualifications: Experience in radiological risk assessment Experience in biokinetic model development Experience with
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workflows. Major Duties/Responsibilities: Participate in the design, implementation, and deployment of scalable AI/DL models for power grid systems, including surrogate models and foundation-model workflows