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will need to contact the project supervisor to discuss. Online applications are made by clicking the 'Apply' button, above. Please select PhD in Mechanical Engineering on the Programme Choice page. You
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, biotechnology or a related field. Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. Please contact Vladimir for more information
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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and data analysis. You will be working at the interface of chemistry and chemical engineering to improve the enrichment process. This will involve investigating different extractants, solvents, and
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges. Click Apply now for more information on our application process
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Start date: 29/09/2025 This is an exciting opportunity to study for a PhD funded by the EPSRC-funded EnerHy CDT and Sustainable Plastics Solutions. Offering an annual tax-free stipend of £20,780
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Qualification Type: PhD Location: Nottingham Funding For: UK Students Funding amount: Full tuition fee waiver pa (Home Students only) and stipend at above UKRI rates pa (currently at £20,780
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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Project Overview The University of Sheffield, funded by the EPSRC and in collaboration with Shell, is offering a fully funded 4-year PhD studentship through the EPSRC Industrial Doctorate Landscape