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Field
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. Qualifications: PhD or Masters in a relevant field Ability to teach either Undergraduate and/or Postgraduate programmes. Minimum of 5 years industry experience (if no previous University teaching experience
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Interview Motivated in learning new methodologies and applying new knowledge Essential Interview Knowledge of the approximate Bayesian machine learning (e.g. MCMC) (assessed at: Application form/Interview
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the student experience and incorporate teaching innovations from industry and the global education sector. The department delivers undergraduate and postgraduate courses in games: BSc(Hons) Computer Games
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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management studies. The Marketing group at CJBS comprises scholars specialising in marketing strategy and modelling, including econometrics, machine learning, and analytical approaches. In
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subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level. Applicants may hold a PhD in
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external engagement The successful candidate should have the following: PhD or Doctorate in a related discipline (or near to completion) Higher education teaching qualification and/or Fellowship of Advance
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the development of climate change models of fashion supply chains and the design of computer model laboratory experiments (with students) that will aim to determine what and how participants learn from these models
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Lecturer/Senior Lecturer in Computer Science with significant competence in applications of artificial intelligence or machine learning. Applicants should have a track record of publications and academic
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Applications are invited for a Research Associate* position in the intersection of machine learning and information theory. The successful candidates will be based within the Information Processing