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on the project description outlining how you would approach the project, and an up-to-date CV. Under programme name, please select 'Architecture, Building and Civil Engineering'. Please quote reference RAINDROP-CH
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the project, and an up-to-date CV. Under programme name, please select 'Architecture, Building and Civil Engineering'. Please quote reference RAINDROP-AE. Only applicants with the minimum supporting documents
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period
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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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recovery from HF. Aims: Normal heart function depends on the intricate synchronization of billions of cells organised in complex spatial architectures. Progressive desynchronization of these cellular
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These are the essential criteria for this PhD studentship: MSc degree in HCI, Computer Science, Design, Sociology, Anthropology, Urban Planning, Architecture or Art or related field, or equivalent experience in a relevant
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Emissions (UK SHORE) strategy for emissions reduction in maritime. You will have a PhD (or equivalent professional experience) in an appropriate engineering discipline (Naval Architecture/Civil/Structural
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with expertise in programming (C++, Python), computer architectures, Deep Learning (PyTorch, TensorFlow), and AI acceleration. Exceptional international candidates may be eligible for a fee waiver (read
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Funding amount: Tuition fees (Home) and an annual tax-free stipend of £21,237/year Applications are invited for a PhD studentship in the Department of Computer Science. The successful candidate will
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and theoretical and computational collaborators. Your experience and ambitions Interest in experimental condensed matter physics – especially in superconductivity and magnetism. Proficiency in searching