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cutting in the production facility. Establish a numerical model to simulate the glass cutting process. Design experimental measurements and assist in the integration of sensors in production. Acquire
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conceptual framework linking nanoscale features to macroscopic adsorption efficiency. Generate and curate high-quality datasets to support data-driven materials optimization and future integration with AI
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Engineering, section for Fluid Mechanics, Coastal and Maritime Engineering. The PhD project will play an integral part of the project “Marine advection and dissipation in the vegetated coastal environment
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privacy guarantees. This PhD project will develop scalable, privacy-preserving coordination models that jointly optimize DER integration, electrified loads, and data-center flexibility — ensuring fairness
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that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in
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transportation decision-making by exploring a wide range of possible scenarios, including unexpected and negative outcomes. By integrating machine learning, metamodeling, and causal representation learning, we aim