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of advanced planning and energy management solutions that enhance self-consumption by intelligently controlling PV systems, batteries, electric vehicle charging, heat pumps, and thermal storage. Beyond
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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strong national and international collaborations, you will receive full support in advancing the current project as well as in shaping and realizing your own scientific ideas within the lab's research
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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selection process with applications accepted year-round. Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical