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-year contract, full-time postdoc fellowship in Legal Theory within the framework of the ERC-Consolidator BildungLearning project n°101043433 (https://bildunglearning.be/) . The main objective
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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28 Aug 2025 Job Information Organisation/Company Université Catholique de Louvain (UCL) Department ELI Research Field Physics » Applied physics Mathematics » Applied mathematics Geosciences
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Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of the following disciplines: advanced
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increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection
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/. If you recognize yourself in the story below, then you have the profile that fits the project and the research group. - I have a master degree in engineering, physics or mathematics and performed above
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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science » Water science Environmental science » Global change Geosciences » Hydrology Geosciences » Geology Mathematics » Applied mathematics Mathematics » Mathematical analysis Physics » Applied physics