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/impact, (3) brief approach (models, algorithms, datasets), (4) evaluation plan, and (5) alignment with IDLab research on reinforcement learning at the University of Antwerp. The selection committee reviews
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. Proposal is maximum 4 pages, excluding references. The research proposal should include: (1) problem statement and motivation, (2) expected novelty/impact, (3) brief approach (models, algorithms, datasets
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learning. Proposal is maximum 4 pages, excluding references. The research proposal should include: (1) problem statement and motivation, (2) expected novelty/impact, (3) brief approach (models, algorithms
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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(100%) doctoral scholarship holder in the field of computer vision and modelling for biomedical applications Position You will work actively on the preparation and defence of a PhD thesis in the field
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and the environment. The developed methods will combine wireless sensing with digital map information (e.g. 3D building models), enabling safe autonomous navigation in complex urban environments
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on experimental research using different types of plasma reactors (gliding arc, arc, microwave plasmas, glow discharges, and dielectric barrier discharges), as well as the modelling of plasma chemistry, plasma
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to research on composite hydrogen tanks, mine counter-measure drones and snap fit joints in constructions. All positions have a duration of 4 years and are fully funded (projects already granted). All research
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predoctoral funding. Preferably, you are eligible for the PhD fellowship fundamental research of the FWO (https://fwo.be/en/support-programmes/all-calls/phd/phd-fellowship-fundamental-research/ ) You will carry