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information about the application process, please consult our PhD programme webpage or apply directly by clicking the 'Apply' button, above. Before applying, you should carefully review the research carried
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physics background. Experience of experimental and computational modelling of icing physics, instrumentation and imaging techniques would be an advantage. Funding The Centre of Propulsion and Thermal
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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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, Continuum Mechanics, Computer Science, Materials Science, Physics or a related subject, or relevant industrial experience. English language requirements: Applicants must meet the minimum English language
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and water table dynamics; drought response; physical aspects (such as pre-restoration compaction, hydraulic conductivity, changes in microtopography); and the role of shallow peats. The direction
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programme. Successful candidates are expected to participate fully in the academic life of the University. Remote-only arrangements will not be considered. Application Process To apply, please send
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equivalent in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the
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’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F. Leave the ‘Research Area’ field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the
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Physics, Theoretical physics, Maths or other closely related subject (e.g. Materials Science with evidence of strong computational background and skills). To apply, please contact the supervisors; Dr Thomas
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Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following