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Qualifications: Experience with probabilistic programming frameworks such as PyMC, Stan, NumPyro, or similar. Experience with system dynamics or compartmental modeling — stock-and-flow formulations, feedback
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models of gas transport and process behavior in industrial systems Collaborate with a team of scientists from across the national laboratory complex on modeling efforts Extend process flow modeling across
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transmission and scanning electron microscopy, SIMS, APT, and related methods. Set up and perform experiments involving vacuum pumps, flow meters, and microfluidic reactors to conduct experiments to study model
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Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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responses to current or imposed environmental conditions. Research may leverage: Laboratory, growth chamber and field experimental data, and/or new measurements to quantify molecular to ecosystem scale
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research team, you will play an active role in the search for neutrinoless double-beta decay of Ge-76 with the LEGEND-200 experiment, currently operating at LNGS, help lead the R&D, design, and