143 Education "Wetsus European centre of excellence for sustainable water technology" scholarships at Delft University of Technology in netherland
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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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increasing efficiency. Ultimately, the research aims to develop practically applicable catalysts for the efficient and benign synthesis of societally important molecules. The work will be conducted in
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! Image sensors have been used widely in our daily lives. In this project, we will develop a low-power image sensor for IoT applications such as environment monitoring in remote areas. Two key aspects
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that operate in the real world with various other PhDs and engineers. The OpenBots laboratory aims to develop a common sense capability for robots making them able to understand their surroundings and plan
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In this PhD project we will develop novel mathematical cognitive models that represent social and cognitive interactions of humans, as well as novel control architectures (based on model-based
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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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that operate in the real world with various other PhDs and engineers. The OpenBots laboratory aims to develop a common sense capability for robots making them able to understand their surroundings and plan
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into formal models for crowd safety decision-making. Starting from theory-building work, you will first develop a framework on human-AI information acquisition and decision-making to formulate a range of
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on effective software testing. Given the complexity and scale of these systems, detecting software errors through manual testing is often impractical and insufficient. This PhD project seeks to develop advanced