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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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or integrating control algorithms into physical testbeds Knowledge of predictive maintenance methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real
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),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive manufacturing, process physics, thermodynamics, and/or metallurgy to interpret
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material synthesis skills Working knowledge of common materials analysis techniques including crystallography and optical spectroscopy Demonstrated record of publishing scientific results in peer-reviewed
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for application to nuclear, or similarly complex, thermal energy systems. Experience with open-source CFD codes such as OpenFOAM or Nek5000, and/or commercial CFD codes such as STAR-CCM+, ANSYS or COMSOL. Knowledge
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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-motivated with a thirst for knowledge and a passion for performing safe work. The candidate will be expected to simultaneously execute multiple projects, contribute to development of new initiatives in
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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processing, additive manufacturing). Knowledge of deformation mechanisms such as dislocation slip, twinning, and precipitation strengthening. Special Requirements: Applicants cannot have received their Ph.D
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. Knowledge of fiber manufacturing processes and structure-property relationships is a plus. Strong analytical and problem-solving skills. Excellent written and verbal communication abilities. Experience in