113 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Belgium
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8 Nov 2025 Job Information Organisation/Company Université catholique de Louvain Research Field Biological sciences » Other Computer science » Programming Computer science » Other Engineering
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suckling pigs. You will help secure research funding by contributing to new grant applications and external collaborations. You will mentor PhD students and master’s thesis students in their research
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As postdoctoral fellow, you will be working in the Maes
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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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Educational Master – and conducts research across a wide variety of domains in each of these fields. The faculty’s vision can be summarized as: “With trust, in connection, through continuous learning.” The FPPW
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research on these topics, assist in supervising ongoing research projects and guide the team of PhD students working within this field. You will report on the results of your research and produce academic
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Job Status Full-time Offer Starting Date 15 Jan 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-631 Is the Job related to staff
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Company description NUMA is a research section within the Department of Computer Science of KU Leuven, with 12 permanent staff members and approximately 60 PhD and postdoctoral researchers. NUMA
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computing environment opportunities to gather experience in statistics teaching (only if you wish to do so) We are looking for: You are holding a PhD degree in statistics, mathematics, or a similar domain
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writing, and disseminate findings through high-impact publications. Profile PhD in neuroscience, immunology, stem cell biology, or related discipline. Proven expertise in Parkinson’s disease models and iPSC