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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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Doctoral Network GENOME (GENerative and connected intelligence for 6G Open ManagemEnt). Your challenge will be to design LLM-based agentic systems capable of autonomous ("zero-touch") orchestration
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem
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studentship. Please apply via the King's Apply website (https://apply.kcl.ac.uk ) to the School of Cancer and Pharmaceutical Science (PhD). DO NOT CLICK ON THE APPLY BUTTON BELOW TO SUBMIT AN APPLICATION Follow
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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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cues play a role analogous to conditioned stimuli: they are signals that, once learned, allow the agent to anticipate the consequences of its actions. Scientific Motivation: Learning-based navigation
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integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or 2.Computational social scientists with experience in
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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for our environment? Will the streets ever by quiet again? This PhD will give you the opportunity to build models that predict this! Job description In 2023, global drone shipments reached 1 million