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. research builds upon recent advancements in multi-agentic AI systems. Processing and integrating multiple data modalities will also be key to the research objective of developing dynamic and intelligent
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London) has multiple, fully-funded PhD studentships available to accelerate its interdisciplinary research in the humanities, social sciences and digital sciences. Each scholarship is fully-funded
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of genetic loci and chromosomal rearrangements. • Develop and analyze individual-based (agent-based) models programmed in SLiM or C++ to test the robustness of analytical results (e.g., accounting for genetic
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in Computer Science Northeastern University London As part of a major investment, Northeastern University London (NU London) has multiple, fully-funded PhD studentships available to accelerate its
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. FeelGoodAI will be applied to the field of education, where learner mental health and well-being are major concerns. Multiple perspectives and constructs related to well-being underpin several theories from
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and responsible artificial intelligence, combining areas such as reinforcement learning, social and cognitive computational modelling, knowledge representation and reasoning, agent-based modelling. More
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modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning). Experience in annotation software such as ELAN and PRAAT. Existing peer-reviewed journal publications and conference
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2022. The problem? Manually giving well-considered consent to every data use in real time is impossible. The solution? Autonomous agent systems that protect your privacy efficiently, transparently, and
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fragmentation. This project seeks to overcome these barriers by integrating BIM-based energy modeling, semantic data models (Ontologies), and Large Language Models (LLM) into the control workflow. The candidate
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approaches, aiming at maximizing the SE and EE. Distributed DRL approaches will be proposed, where multiple RL agents cooperate and converge into the optimal end-to-end network configuration given a set of