115 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nottingham Trent University
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departments and roles dedicated to such work. Reports show this approach may not be sustainable (see for example Hicks, 2024). We call for research proposals for a PhD project that studies the interactive
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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within the rotation. The PhD programme will allow the applicant to experience a wide range of established and emerging techniques that underpin research in animal production and develop their practical
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undergraduate degree in economics or related studies and/or, preferably, a postgraduate degree in economics or finance, with very good knowledge of econometrics, mathematical modelling and experience in
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Overview This self-funded PhD project involves an investigation into filmic forms that push against, cross and/or transgress boundaries between fiction, ethnographic, essayistic or documentary
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Overview This self-funded PhD project investigates the complex and at times fraught relationship between photographic practices and the body in the digital age. Photography has undergone a major
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cross country/sector study, preferably from developing countries where MNCs operate. UK: Successful applicants for the PhD in Nottingham Business School normally hold a first or upper second-class honours
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for Jan 2026 intake closes on 1st October 2025. Entry qualifications Entrants must have subject expertise in at least one of the following: economics; finance; entrepreneurship. Applicants would be expected
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applications for Jan 2026 intake closes on 1st October 2025. Entry qualifications UK: Successful applicants for the PhD in Nottingham Business School normally hold a first or upper second-class honours degree
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multimedia visual communication. The project may be conducted as a 50% practice/50% theory PhD, or as a 100% theoretical PhD. The successful applicant will be supervised by Dr Carol Adlam, Associate Professor