114 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nottingham Trent University
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response, we have limited knowledge of the key regulators involved. This research programme will build on our current evidence on the role of nuclear actin in the DNA damage response and identify key
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October 2025 Entry qualifications Applicants must hold a master’s degree in accounting, finance, economics, business, management, data/computer science, or a related field. We especially encourage
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the Edge AI foundation and various industrial partners. We are seeking candidates with a doctoral degree and substantial experience in Persuasive and Edge Computing or related areas. Essential expertise
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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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research. The PhD candidate will aim to develop an understanding of existing climate change models and choose or develop a customised model for the purposes of the study. Furthermore, it will involve
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rigorous coding scheme to be used for the evaluation of model-based facilitated workshops. The PhD student will then use this coding scheme to analyse workshop transcripts from previous projects already
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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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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
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– understanding the determining factors of FDI is an important issue from a developing country perspective. Although Africa has undertaken a programme of political and economic reforms, inward investment remains
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MSc in business, management or other social science discipline relevant to the topic. Qualitative methodological skills. Fees and funding This is a self-funded PhD project for UK and International