61 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" positions at Nottingham Trent University
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Overview The International PhD in Applied Psychology is a partnership involving Nottingham Trent University, Ramon Llull (Barcelona) and Universidade Catolica Portuguesa (Porto) that provides a
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Overview This PhD project will take a comprehensive approach to exploring how corporate sustainability disclosure practices evolve in response to the integration of Machine Learning (ML) within
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for succession planning. The proposed PhD research aims to develop a framework that leverages AI-driven predictive analytics to assess employee skill capabilities, automatically identify skill gaps, and provide
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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
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optimisation model, and apply exact optimisation techniques, and metaheuristics for the optimisation of large-scale problems such as Genetic Algorithm, and/or fuzzy optimisation techniques for treating problems
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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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Overview This self-funded PhD project provides a suitable researcher with the opportunity to investigate the role that visual and political propaganda has played during the Covid-19 crisis
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, or MATLAB is also highly valued. UK: Successful applicants for the PhD in Nottingham Business School normally hold a first or upper second-class honours degree from a UK university or an equivalent
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Overview This self-funded PhD project is an in-depth investigation into the complex relationship between photography, landscape and trauma through the analysis of a specific, well-defined and highly