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position The lab is looking for a postdoc to further develop agentic pipelines that autonomously manage computational tasks: You oversee dozens of computational biology tasks across biological disciplines
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Your research is situated in the EU-funded Horizon Europe project EOSC-ARENA (AI Research Enhancement through Networked Agents), funded under the European Commission’s GenAI4EU initiative. The overall
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ICT Services & Applications. Your role The successful candidate will join the SERVAL research group and contribute to research and development activities at the intersection of Agentic AI, AI Security
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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project of the VUB, introduces a new research framework that treats archaeological prospection as a sequential decision-making process explored through computational simulation and deep multi-objective
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knowledge of developing AI-based information systems, such as AI-enabled engagement e.g., agentic AI and AI-enabled insight generation e.g., machine learning analytics in both individual and organizational
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. The project will consider different types of epidemic models, including spatial and individual-based models. Methodologically, the work will focus on multi-objective, hierarchical, and explainable reinforcement
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participation and international collaborations. KU Leuven is one of the top 50 universities in the world (top 11 in Europe) according to the Times Higher Education ranking 2026. It offers an exciting multi
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devices, complex machinery parts, and cleaning agents used in the health care sector. Existing data will be enriched with innovative measurements on leachables/extractables using advanced mass spectrometry
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of neurodegeneration, totaling to over 1,500 human brain samples. Using an array of -omics techniques, e.g. long read DNA sequencing, single nuclei transcriptomics & ATACseq and multi-modal proteomics, the team aims