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Field
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. This project will include building galaxy population catalogues validated against state-of-the-art cosmological simulations (e.g. Illustris-TNG). This simulation effort will be the foundation underpinning every
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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using methods such as surveys, interviews, focus groups, roadway observations, driving simulators, eye tracking, video, GPS or vehicle telematics, mobile devices, wearable or physiological sensors, and
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(MPEX), a high-flux superconducting linear plasma facility nearing completion at ORNL. The candidate will utilize state-of-the-art 3D plasma boundary simulation tools as part of the MPEX Whole-Device
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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workflows. The successful candidate will develop novel AI methods that integrate scientific knowledge, simulation, experimental data, and large-scale computing to achieve measurable AI advantage in scientific
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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. You will build simulation agents that predict materials properties (such as Li-ion conductivity in solid electrolytes) autonomously and at scale, validate them against thousands of real A-Lab
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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software