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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en/thesis-and-internship-topics/circular-and-nature-based… Work Location(s) Number of offers
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recently developed mathematical theory, linking stochastic, network, and agent-based modelling, describing how this emergent behaviour supports essential maintenance and sharing of contents through
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
are recruiting PhD students to work on this exciting topic of LLM-based agentic AI, with the goal of making AI agents reliable, efficient, and collaborative. The research results are expected to become the core
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, as well as understanding how these processes shape the labour market. The research outcome will focus on developing an Agent–Human Sandbox platform, based on standardized scenario simulations and
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reinforcement learning, agent-based modelling and simulation, autonomous decision-making, communication protocols, and applications in robotics, smart grids, and social networks. We consider computer science
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more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's
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university. We are willing to support applications related to our research on complex systems, network and data science, agent-based models, statistical physics, or computational and mathematical modelling
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consortium also includes industrial and clinical partners. This particular PhD project aims to develop the in-vitro vasculature-on-chip models, microfluidic chips in which controllable and physiologically
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of multi-agent systems Control and containment: Developing steering techniques and safety measures to guide model behavior, including red-teaming and methods for intervention, guardrails, and safety