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, coordinating selected work packages, and liaising with partners on target handling and logistics. Qualifications Demonstrated experience in tokamak or accelerator subsystems, e.g. vacuum, RF/HV, coil/power
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are also expected to contribute to the characterization of the thermoelectric generators after field testing and to implement the results of accelerated fatigue tests in heat transfer models to predict
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Nordisk Foundation and led by Associate Professor Mikkel Schmidt (DTU Compute). In LightTrap , we will use AI to accelerate the discovery of new optical materials and that enhance the performance of thin
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for materials discovery. Project description Machine learning opens up new opportunities to accelerate the discovery of next-generation energy materials by combining predictive and generative approaches. In