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science applications Computational Atomic-scale Materials Design with a focus on materials modeling and discovery with electronic structure calculations and machine learning Luminescence Physics and
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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welcome you to propose your own research idea within the value chain of functional coatings from raw materials to end-product. Coating formulation and production principles Optimising the production line by
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for energy applications. You will work in a highly collaborative and interdisciplinary environment, which comprises, among others, experts with backgrounds in physics, chemistry, materials, and computer