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decomposition, tracing intermediate outputs, problem solving and debugging. Recent advances in Large Language Models (LLMs) create opportunities for scaling the teaching assistance provided to novice programmers
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Challenge: Unravelling potential capacity in railways Change: Advancing train trajectory coordination from minutes to seconds Impact: More reliable and sustainable rail transport The ever-increasing
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Graduate School which provides a Doctoral Education Programme aimed at developing transferable, discipline-related and research skills. There is a strong emphasis to drive the project in the direction
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Join the team that will develop breakthrough technologies for ultra-efficient aircraft development! To achieve significant progress in producing sustainable aircrafts in the future, the advancement
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construction and contribute to the advancement of circular economy principles in the building sector. The ultimate goal is to develop a feasible and sustainable recycling technique for fine recycled aggregates
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The main goal of the research is to quantify the impact of hydrate formation on injectivity of CO2 injection well and to develop chemical-based solutions to either inhibit the formation of hydrates
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Python) for automated parametrization of models and simulations, as well as for performing optimization, data analytics, and experimental validaton. An affinity with teaching and guiding students. Ability
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We are looking for a motivated and independent PhD candidate to develop highly efficient and robust surrogate models of a multi-scale cardiovascular ‘digital twin’ modelling platform. A
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between theory, simulations, and experiments towards understanding and controlling fluid flows. In our team, we strive for a co-creative and stimulating environment where we can develop our skills as a
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future decisions. Within this project, you will develop a modelling framework to investigate climate intervention approaches targeting clouds in the Arctic where temperatures are increasing rapidly