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our Undergraduate and MSc degree courses in Engineering Mathematics, Data Science, Fintech, Digital Health, and Robotics. We are most keen to hear from those interested in teaching artificial
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assurance, financial crime, synthetic data, LLM orchestration, and agentic workflows? We are seeking a Postdoctoral Research Associate (PDRA) in Artificial Intelligence and Reinforcement Learning to join a
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in Engineering Mathematics, Data Science, Fintech, Digital Health, and Robotics. We are most keen to hear from those interested in teaching artificial intelligence. This could be attractive to you if
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Learning, and Deep Learning/Computer Vision along with knowledge and experience in Artificial Intelligence and Database Management Systems. The ability to apply and generate externally funded research
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plus. Participate in Artificial Intelligence projects or competition(s) is a plus. Job Description Faculty members are engaged in teaching, services, research and professional development tasks
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or more of the following sub-disciplines: Cybersecurity; Cloud Computing; Computer Programming (C++, C#, python); Software Development; Mobile Application Development; Artificial Intelligence, Machine
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science, artificial intelligence, inclusive planning & design, public health, technological innovation, behavioural science, and social justice & inclusion. The post is full time and open-ended. You will
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generation of data scientists and artificial intelligence practitioners, responding to the increasing need in this field, and conducting high quality research which cuts across traditional disciplinary
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young people, their families, and educators to develop a neurodiversity-affirming toolkit to explore children’s character strengths, abilities, and potential across contexts. Embedding Artificial
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
Artificial Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow