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to perceive, reason and act flexibly. The models will be trained on simulated datasets to learn general behaviours, then fine-tuned for specific tasks. The aim is to create intelligent agents that could
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mechanistic insight, the student will use AI-based methods to investigate CPA–water interactions and ice inhibition. At larger scales, agent-based modelling using the BioDynaMo platform will be employed
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for research areas are regenerative business models (how to create, deliver and capture multiple forms of value - economic, social, and environmental, human and non-human - in a regenerative context
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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governance, simulation and modelling (agent-based modelling, discrete-event simulation, network models), data modelling / interoperability (e.g., ontologies/semantics, data standards, API-based exchange
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-agent reinforcement learning (MARL) framework for cyber-physical networked fault-tolerant control of renewable energy-fed smart grids under adversarial conditions [6]-[9]. Multiple autonomous agents will
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations
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., Clauss, M., Doughty, C.E., 2021. Improved estimation of gut passage time considerably affects trait-based dispersal models. Functional Ecology 35, 860–869. *Baker, G. et al, submitted. Novel isotopic
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background in (not necessarily all) the following fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability
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of new steel grades. To this end we will design agentic multi-modal models, whose components will be trained on legacy data, and which can be queried to provide a prompt-based summarization of relevant