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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds
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internships An additional disability allowance can be provided where appropriate Students opting to study part-time will receive a pro-rata maintenance stipend. Specified use +3 - covering a full PhD programme
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Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email address Dr. Ping Lu: p.lu@leeds.ac.uk
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PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project
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, providing access to the full programme of research and knowledge exchange and all the opportunities that this affords. The centre was launched in November 2021, funded by a £10 million award from the ESRC
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in one or more of the following areas: Organic synthesis Polymer chemistry Computer programming (Python) Submitting an application As well as supporting documents, applications must include a Research
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will work in a stimulating scientific environment, the Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the
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Overview Location: College Lane Campus Programme Description The Centre for MoDDD at the University of Hertfordshire invites applications for a PhD candidate to join a 3-year QR funded research
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) programme. The international, interdisciplinary, and cross-sectoral network gathers together leading experts in basic and applied soft matter and food sciences to train a new generation of young researchers