726 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "Dr" scholarships in United Kingdom
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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Fully Funded Studentship: Investigation of PFAS Occurrence and Transformation in UK Receiving Waters
computational analysis that will develop the students’ capabilities and skillset in both areas. Importantly, the student will receive training in fieldwork, analytical chemistry and data science. Candidates must
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Ginossar once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . How to apply Applications should be submitted via the Physics PhD programme page. In place of
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
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academic and industrial. Please check the hub website for further details: https://www.liverpool.ac.uk/energy-transfer-skills-training-hub
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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, utilising high-performance computing (HPC) servers and data from large-scale facilities such as Diamond Light Source and ISIS Neutron and Muon Source. For informal enquiries please contact Dr Jay Warnett
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not essential How to apply: Interested candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ . The project is funded in collaboration with Ward & Burke, a leading engineering firm specialising in the design, manufacture, supply
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free) plus all programme fees for three years. This opportunity is open to Home and Overseas candidates. How to apply For further information please contact: Name: Dr Mehdi Safavi Email: mehdi.safavi