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for the propagation of incoherent light, novel computational algorithms for solving inverse problems to retrieve denoised and high-resolution holographic recordings, and motion compensation techniques. In this PhD
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the theory and the implementation of neural networks (for instance, transformers, CNNs) and/or search algorithms (for instance, branch & bound search, beam search) strong programming skills, where
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind
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) rigorous evaluation of algorithmic improvements.For some inspiration on this topic, see the CertiFOX project page: https://www.bartbogaerts.eu/projects/CertiFOX/ Another long-standing objective is to
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6G networks. This PhD position is centred on Integrated Sensing and Communication (ISAC) for highly accurate localisation, tracking, and collision avoidance of unmanned vehicles (UAVs) using
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Foundation Machine Learning topics, including designing new architectures, and training algorithms Implement World Models for simulation on multimodal data (vision + tabular, vision + graph) Evaluate
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surveillance systems. To achieve this goal, we are looking for an enthusiastic PhD researcher who will focus on bringing face-swapping algorithms to off-the-shelf embedded platforms. The work will involve
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will
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, an FWO SBO project developing the next generation of AI-native integrated satellite and terrestrial 6G networks. This PhD position is centred on Integrated Sensing and Communication (ISAC) for highly
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cleaning, filtering, etc.).•Expertise in data fusion and relevant algorithms (deep learning, generative AI, kernel methods, Bayesian methods). •Preferably, experience with high-content imaging or cell