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networks. Participation in national and internationally funded research projects. Contribution to advanced digital twin and agent-based simulation platforms. Opportunities for interdisciplinary collaboration
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for Cybersecurity in Industry 5.0 and Critical Infrastructures: From Data Fusion to Intelligence Fusion”. The aim of the project is to develop a framework based on collaborative AI concept, e.g., Agentic AI or other
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conceptual knowledge and/or practical experience in topics such as agent-based modelling, bayesian statistics, causal inference, data visualisation and graphical interfaces, geospatial data analysis, high
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within an avian microbiota grown in vitro. Finally, control strategies based on the use of molecules that inhibit bacterial communication will be tested in this model. The most promising approaches will
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resilience for Cyber-Physical Systems (CPS). The 10 Doctoral Candidates (DC) will collaborate on modeling threat actors, developing scalable AI-based monitoring and control systems, and designing strategies
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. Experience developing and fine-tuning Large Language Models (LLMs) and transformer-based architectures. Practicalexperience building AI agents, including agentic workflows, autonomous decision-making pipelines
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modelling, ideally with the use of innovative computational methods (e.g. agent-based and predictive modelling, bioinformatics). Relevance of research to human evolution is required. The position has a
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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling
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related fields to apply for this exciting opportunity in the Brown Group in collaboration with EDF UK to develop skills in agent based modelling spatial-analysis, optimisation and economic analysis, as
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and responsibilities The Project Expert performing as Senior AI Solutions Developerwill: Develop and implement advanced AI models, including deep neural networks, transformers, LLM-based systems