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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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as well as to present the findings at (inter)national conferences or workshops. Furthermore, the candidate is supposed to carry out minor teaching tasks (at most 15% of the contract time). Teaching in
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topologies (sampling problem) and angular estimation algorithms (estimation problem) is required, while considering the physical effects (EM problem). The novel idea in DoAnt is to develop an EM-driven
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because of the extreme conditions. Numerical simulations can prove very valuable to help at the design stage and to develop efficient control strategies; but they need to be of sufficiently high fidelity
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Sustainable Development Goal #6 ‘clean water and sanitation’ as well as forecasting impacts on one of the Planetary Boundaries, namely ‘land-system change’. Key Responsibilities: Develop a multi-scale GIS-based
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systems such as mobile manipulators, quadrupeds, and drones, and deploy them in complex real-world environments. We are looking for an enthusiastic and open team player to help us develop the next
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, academic staff and a mentor. The Doctoral Education Program is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customizable compensation package
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programming (Python and/or Matlab). Good interpersonal and communications skills. Prior experience in AI/machine learning is a plus. Affinity for biomedical imaging is a plus. Motivation for teaching and
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that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate