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, synthesize, and characterize metal-organic frameworks (MOFs) for catalytic applications Evaluate catalytic activity for hydrocarbon conversion and hydrogen (H2) storage in liquid organic hydrogen carriers
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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on developing a new hybrid light–matter platform that couples transition metal complexes with optical microcavities to achieve optical control over ultrafast spin conversion and charge transfer
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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monitoring and control technologies applicable to molten salt and liquid metal systems Develop and test new materials and cell configurations for the production of salt and metal products. Perform experiments
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key element of the two-beam acceleration concept Emphasize Bayesian optimization approaches and integrate these methods into the facility control system Design, execute, and analyze accelerator
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fabrication, including mask design, metal sputtering, laser or e-beam lithography, etching, and device integration Familiarity with thin-film materials (e.g., oxides, dielectrics, metals) and their integration
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surface organometallic catalysis with a focus on understanding metal-surface stereoelectronic communication. In this role you will: Conduct research as part of a multidisciplinary team in supported
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of molten salt chemistry and electrochemistry Develop novel process monitoring and control technologies applicable to molten salt and liquid metal systems Develop advanced molten salt flow systems to enable