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for reasoning over heterogeneous historical and social data (texts, maps, images, archaeological records), combining causal discovery, multimodal modelling, and agent-based simulation to produce open
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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domain tools (RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) to build composite agents that plan, simulate, and execute DMTA tasks Prototype and iterate rapidly on agent planning strategies
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examines the impact of IAM services on travel behavior using agent-based transport simulation. The doctoral researcher will initially work collaboratively with first-cohort researchers on IAM-related
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robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred. The terms of employment are very competitive and include housing and educational subsidies for children
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a Doctoral Researcher for AI agent applications in real estate and construction. The fixed-term contract will include working on a dissertation in the newly funded AI Champion project. The thematic
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of the EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute. ‘Agent-based’ modelling (ABM) simulates large numbers of autonomous yet interacting entities and in Sheffield
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Socially-Aware AI agent to enhance team training by providing real-time insights and actionable feedback from multimodal data. We envision that humans and agents will work in teams, complementing each other
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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and Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group