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in topology optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is
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development and teaching, and supervising students A PhD in control engineering, mechanical engineering, or a relevant engineering field with a focus on energy systems is required for this position. Experience
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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research. The candidate should have a PhD degree in Physics, Chemistry, Chemical Engineering or Materials Science and insight in catalysis. It is essential that the candidate has experience with synthesizing
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr