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courses in immersive technologies, including VR, AR, MR, XR, and related fields. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and
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contract proposals, and contributing to exploratory research in the company’s R&D programme. The Scientist works closely with Senior Scientists to conduct investigations and report scientific findings. We
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practice. (Desirable) Capability to assess and use appropriate empirical and computational methods, while also contributing to innovation within the programme - including identifying and recommending new
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on the intersection of FinTech and AI. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent
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of Economics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent research projects
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mathematical statistics, machine learning, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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, and government. Teaching & Curriculum Development Design and deliver advanced undergraduate and postgraduate courses at the intersection of FinTech and AI. Play a pivotal role in programme accreditation
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group
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policies. Experience, Skills & Qualifications: Essential: A PhD (or equivalent) in a relevant discipline within biomedical, clinical or public health research. Candidates with a background in computational