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Field
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Researcher to join the group. The research project is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available
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nature uses nitrogenases based on iron, vanadium, or molybdenum cofactors, synthetic systems still face fundamental obstacles in N₂ activation and functionalisation. Recent breakthroughs (e.g. Nature 2020
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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approaches (e.g. ODE/PDE-Modelling, Agent Based Modelling) Experience in mathematical analysis of data-driven methods Solid experience in programming (R, Matlab, Python, etc.) Competence in working in inter
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, supply chain management, or a related field. Experience with system modeling or scenario analysis (e.g., system dynamics, agent-based modeling, MCDA, causal mapping). Understanding of or interest in
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in systems engineering, industrial engineering, operations research, supply chain management, or a related field. Experience with system modeling or scenario analysis (e.g., system dynamics, agent
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or orthotopic tumour models Supporting preclinical treatment studies involving standard-of-care or experimental agents Applying in vivo imaging techniques (e.g., bioluminescence imaging) to monitor tumour
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on three continents. This research contributes to scholarship on how global governance is dealing with the crisis of multilateralism and debates on organisational culture, principal-agent relationships, and
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on three continents. This research contributes to scholarship on how global governance is dealing with the crisis of multilateralism and debates on organisational culture, principal-agent relationships, and
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independently to develop therapeutic agents against mutant p53 and other oncoproteins using artificial intelligence, monoclonal antibodies, and DNA vaccines. The positions offer a unique team-based science