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LLM Models and Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics
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. We provide cutting edge, explainable, interpretable and verifiable machine learning and AI solutions for the next generation of autonomous systems. Our unique research and expertise of designing
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science, or software engineering Proven experience with AI methods, including machine learning, data mining, and natural language processing Strong proficiency in Python programming Strong background in data management
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to present complex or technical information High level of problem solving capacity Desirable Experience in software and applications of machine learning Experience with the Open Force Field software stack
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assessment of other modules. This might include running computer practical’s, and marking assignments and examinations • To contribute to the School’s recruitment and outreach activities as directed by
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faculty strategy • Take responsibility for identifying own learning needs, including identifying appropriate courses to ensure up to date knowledge in the regulations governing clinical research and
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; tangible media or wearables; ML for Activity Recognition • Human-AI Interaction • Data Science and Artificial intelligence (including computer vision, natural language processing, machine learning
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as biostatistics, statistical data science, or machine learning) • Publish refereed articles in journals of international standing • Collaborate with colleagues in the school on research in
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, modules and a range of high-quality teaching and learning resources within the Group, as well as industry engagement and supporting our wider skills offering. We promote excellence by creating an inclusive
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intelligence/machine learning (ML). For informal enquiries, please contact NICA’s IT & Digital Programme Manager [email protected] To apply, please complete the online application and attach a CV and