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Job Description Do you want to do research on cutting-edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the
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uranium, and with the CALPHAD thermodynamics approach (e.g., FactSage, Thermochimica, Thermo-Calc) for multicomponent molten salt systems. Knowledge of machine-learning potentials applied to molten salt
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, modelling and machine learning to improve defect detection, classification and power loss simulations. Benchmarking field-acquired images with laboratory measurements. Publishing results in leading journals
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high-throughput reactor systems, combined with the implementation of a visionary data management strategy, will provide a unique environment for data-rich research supported by machine learning and AI