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models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements of cyber-physical energy systems. Tasks The PhD student will
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interest in the topic, even if their background does not match every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg
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Mechanical Engineering, Technical University of Denmark, may be the right next step for you. The project investigates how meso‑ and microscale modelling of storm events and other weather conditions can help
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virtual screening, generative machine learning (ML) models, and automated reaction exploration to gain insights into complex chemical systems. This is an opportunity to work at the forefront
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uncertainty, including the interaction between assets, markets, grids, and policy constraints Stochastic optimisation and dynamic decision models for operational strategies (e.g., maintenance planning, market
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Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
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LES resolved wake dynamics and the coupling to aero-elastic models and wind turbine control. You will be a member of the Fluid and Offshore Mechanics section, which has a strong track record in offshore
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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We seek a professor to strengthen the department’s research and education in Chemical Engineering Thermodynamics, with a particular focus on advanced thermodynamic models and a good knowledge of
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Job Description We seek a professor to strengthen the department’s research and education in Chemical Engineering Thermodynamics, with a particular focus on advanced thermodynamic models and a good