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, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based development. For Model
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Your Job In previous projects, a detailed dynamic model of the system was developed based on first-principle (white-box) approaches. While such models provide valuable insight, advanced model-based
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of Electrical Engineering , depending on the candidate’s profile and selected research track. About the research project DRIVE PR – Data-Driven Product Realisation is a large collaborative
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train, validate, and improve model performance. The developed model will be applied to coastal engineering problems, including wave transformation, nearshore circulation, and extreme coastal
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Infrastructure? No Offer Description Start date/duration as soon as possible until 14.09.2027 Job profile: Your responsibilities: PhD thesis in the field of software engineering and model-driven
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, numerical methods, or data-driven modeling of physical systems. Experience developing or applying computational models to physical or engineering systems. Proficiency in Python, C++, C, FORTRAN, or similar
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-driven X-ray nanophotonics – i.e., model the physics of free electrons impinging on nanomaterials like van der Waals crystals, and subsequent coherent X-ray emission processes. Lead papers and publish in
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with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process
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W1 Professorship for Chemical Process Engineering of Light-Driven Reactions (Junior Professorship) (
University invites applications for a W1 Professorship for Chemical Process Engineering of Light-Driven Reactions (Junior Professorship) (m/f/d) at the Institute of Chemical Engineering, Faculty of
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is looking for a Research Fellow to conduct research on AI-enabled discovery and development of advanced functional materials and coating processes, with emphasis on data-driven modelling, uncertainty