116 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Belgium
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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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) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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. Profile You hold a PhD in political science, computational social science, linguistics, computer science, or a related field (or will have obtained it by the time you start work). Your research qualities
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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
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2 Oct 2025 Job Information Organisation/Company Ghent University Research Field Computer science » Other Economics » Business economics Economics » Other Researcher Profile Recognised Researcher (R2
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for master’s studies for Belgians or Luxembourgers Scholarships for (pre)doctoral or post-doctoral research or lecturing for Belgians or Luxembourgers Travel and accommodation for Teaching Assistants Programme
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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 The project investigates network-level disruptions
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We