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how such generalizations can be used to obtain efficient algorithms for geometric intersection graphs. The project will be supervised by prof. Mark de Berg. Information As a PhD student working on
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that are both fast and adaptive? This thesis aims to develop a robust hybrid learning framework that lies at the nexus of online and offline learning. The developed algorithms should be able to benefit from
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL
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, architecture, and development of prototype and product versions of our semiconductor test tools. Translate research algorithms into production-grade, maintainable software. Build and manage a small high
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develop personalised biofeedback methods that train youth and police to recognise subtle, often unconscious, signals of stress. It will enable target groups to react more adequately in stressful moments by
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
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: Translate ML-based error-correction / DPD algorithms into hardware-friendly forms (model reduction, sparsity, quantization, fixed-point design). Design the architecture and RTL of a low-power accelerator that
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(CAusal NEuro-Symbolic approach to integrating perception and abstract reasoning) led by prof. Sara Magliacane. Join us! AI is a vital part of many real-world systems, but several concerns remain about its
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by developing a general mathematical theory of symmetries in BP and efficient algorithms for symmetry detection and exploitation. While the related field of mixed-integer programming (MIP) primarily
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MRI appliance; Develop real-time system reconfiguration support using static and dynamic techniques leading to rapid conversion to the most optimal configuration for any specific patient-centric scan