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an innovative undergraduate degree in Computer Science with AI. Bristol’s world-class AI research spans applied and theoretical work in intelligent agents, machine learning, computer vision, reasoning, and
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: The Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data
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data challenges. Responsibilities Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment Develop multi-agent or RAG-style (retrieval
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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seeking an experienced and highly capable Jr. Data Scientist with expertise in applying methods/frameworks/systems that apply ML&AI. The Jr. Data Scientist will operate as part of a multi-disciplinary team
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multi-disciplinary team (academia, industry and government) and contribute to the successful execution of federally funded projects/activities. Responsibilities include providing technical support to
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. Development of mathematical models of the desired collective behaviour and comparison with the behaviour observed in the developed multi-agent and swarm robotics systems. Where to apply Website https
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and APIs to enhance decision-making capabilities across diverse industries. The AI Research Scientist will collaborate with a multidisciplinary team of Ph.D.-level AI experts specializing in multi-cloud
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. Position Summary We are rebuilding the Design-Make-Test-Analyze (DMTA) cycle, infusing scientific automation with foundation models, multi-agent systems, and robotics to make scientific discovery intelligent
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generally. We tackle problems in single and multi-agent systems operating in uncertain environments and around humans. We typically work with Markov decision processes (MDPs), and are interested in both