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model complexity and function approximation. You will be welcomed into our Sequential Decision-Making group, where we focus on various aspects of reinforcement learning. During your PhD, you will have the
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preserving signals at test time. This project investigates this type of learning setting in crowded mingling events where access to high fidelity data may normally be considered too privacy invasive. It will
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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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. The PhD position is part of the sub programme “Living Lab Learning Environments”. Aim is to develop a scientifically grounded co-creative approach to innovation which is reproduceable and scalable. It aims
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feedback and past experiences. The PhD candidate will develop innovative planning algorithms which exploit elements of robotic learning. The research will especially focus on planning for small drones
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PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling. In partnership with RECENTRE (see https://www.4tu.nl/recentre/), a
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, eager to learn and grow as scientific researchers are most affiliated. You will also be collaborating with other senior PhD researchers in the group and will supervise master and bachelor theses. We
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will explore the use of cutting-edge scientific machine learning framework that blends deep learning with physics-based techniques to achieve the goals of (i) identifying precursors and mechanisms
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. Knowledge and experience in data science and machine learning. A good command of spoken and written English Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate
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-based learning will be one of the solutions for this. The PhD student will be interacting with the other researchers working for the ADAPT-OR project in order to make use of the synergies as