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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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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
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institutes, 5 learning centres and 18 libraries. UCLouvain also has two university hospitals. UCLouvain is a major player in the transition to a sustainable society. The challenges of the ecological crisis
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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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security and machine learning, security measures and usability aspects of security, security of distributed systems, as well as anonymity and privacy issues. Preference may be given to candidates who develop
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Engineering, or Computer Science, with relevant industrial or academic experience in digital hardware design, system modeling, and/or uArchitecture research. You are experienced in RTL design flows (Verilog
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to substantive political science questions. You have strong skills in automated text analysis and natural language processing (e.g., machine learning including neural networks, relation and entity extraction
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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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12 Sep 2025 Job Information Organisation/Company Université catholique de Louvain Research Field Computer science » Programming Computer science » Other Engineering » Computer engineering
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Engineering » Computer engineering Engineering » Other Researcher Profile Established Researcher (R3) Country Belgium Application Deadline 12 Nov 2025 - 11:00 (UTC) Type of Contract Temporary Job Status Full