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related field. Demonstrable expertise in foundation models / large language models, multimodal modelling, or agentic / multi-agent systems is essential. Experience or strong knowledge of causal discovery
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on social dilemmas, i.e., situations where poor group outcomes arise from optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and
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a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research
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field. Hands-on experience in designing and implementing software systems involving multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting
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limited to ReAct/CodeAct agents, multi-agent systems, self-evolving agents, scalable agentic memory management. Extensive knowledge of existing bioinformatic algorithms and tools. Experience in teaching
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, Regional Program Leaders and appropriate county agent programming efforts, support result demonstrations, and other activities when performed in counties or multi-county programs that serve this region
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priority will be given to those in the following areas. Artificial intelligence (with a focus on Machine Learning, Multi-agent Systems) Systems and networking Cyber security Established in collaboration with
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Application Deadline: Applications accepted all year round Details Due to the emergence of pathogens multi-resistant to antibiotics, there is a pressing need for novel antimicrobial strategies. Bacteriophages
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organisation with downstream translational implications in combatting antimicrobial resistance. Plasmodium, the causative agent of malaria, harbours an essential non-photosynthetic plastid called the apicoplast