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supervisor: Dr Tom Stanton Secondary supervisors: Prof. Cunjia Liu, Prof. Adrian Spencer, Dr Nicholas Midgley (Nottingham Trent University) Entry requirements: Applicants will normally need to hold, or expect
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maintenance, production efficiency, and quality control. While the benefits of ML are significant, its adoption also introduces risks such as data privacy concerns, algorithmic bias, model transparency issues
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candidate will develop machine learning and algorithmic design skills. The candidate will gain valuable multidisciplinary skills in the area of machine learning and data analytics methods and their
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software. The successful candidate will be based in Nottingham Business School, Nottingham Trent University, which has achieved an established track record in research and has earned a reputation for solving
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practices produced with the help of computer algorithms challenge, subvert and threaten the modernist concept of the author. AI generated creative practices have the capacity to seriously disrupt established