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-driven materials modelling, digital research workflows, and multiscale integration for Waste-to-Value energy conversion systems. As a PhD in AIM, you will help build the first ab initio–based Digital Twin
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couples atomistic chemistry, mesoscale transport, and device-level performance into a continuously learning model of solar-driven energy conversion devices. The position covers the full life cycle
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