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methods to model and communicate climate-related risks. The PhD student will work under joint supervision from Computing Science and Informatics, being embedded in the AI Policy Lab at the Department
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generation semiconductor materials and devices. The position is embedded at the core of a collaboration to advance the current properties and applications of ultra-wide bandgap (UWBG) materials. Extending
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