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will work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract
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assess vehicle technologies to quantify energy consumption, performance and cost benefits. In this role, a successful candidate will perform vehicle modelling and simulation of advanced powertrains to
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resources and computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most
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complex algorithms. Experience using computing clusters for simulation and data analysis. Experience with accelerator modeling and simulation codes, such as Elegant and Cheetah. Experience with SDDS, Tcl/Tk
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design, simulation, fabrication, and terahertz characterizations of the resonators. Set up terahertz and optical free-space experiments for the terahertz cavity and antiferromagnetic oxides, including
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synchrotron analysis, as well as with theoretical researchers specializing in atomistic simulation, density functional theory (DFT), and ab initio molecular dynamics (AIMD). The successful candidate
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Lemont, Illinois, five days per week. Preferred Qualifications: Experience using the MOOSE simulation framework is highly desired. Experience fitting complicated physics-based models against test data
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responsibilities will be the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to
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materials. Experience in engineering design, particularly for high temperature components. Experience with the MOOSE finite element simulation framework. Job Family Postdoctoral Job Profile Postdoctoral
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Demonstrated expertise in developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python