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Funding for: 3 years (pro rata, subject to satisfactory academic progress), full-fees (UK/Home level), plus a maintenance allowance at the UK Research Council’s national rate Hours: Full-time or Part-time The Department of Theology and Religion at Durham University is inviting applications from...
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generating coherent text, mimicking human-like conversations, and completing complex language tasks such as translation and summarization. However, despite their powerful generative capabilities, these models
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Studentship Status of Funding: Intend to Apply Stage 2: The completed Stuart Hall Application Form must be submitted to the Humanities Doctoral Academy via hums.doctoralacademy.admissions@manchester.ac.uk
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growing number of PhD students working on the transition to net zero. This project forms part of a collaborative relationship with the Institute of Economics within the Department of Business Science at
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technologies and understanding human perception. This studentship aims to innovate in these areas, with a particular focus on novel methods for representing and rendering game worlds in real time. We are seeking
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existing data analytics tools will help deploy these technologies in the industry context without the need for big datasets. Predictive Maintenance (PdM) is one of the maintenance strategies that has
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems
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. The successful candidate will be expected to: Conduct PhD research Contribute to the analysis and reporting into issues pertaining to air power and related issues as a member of the FASI team. Assist in
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flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system