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PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
of interest, skills and previous experience, motivation for Doctoral Research, future goals, and why you are applying to this project. On the application system select Programme of Study – PhD
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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The PhD is funded by a NWSSDTP CASE studentship and is open to Home (UK) students only. This interdisciplinary project investigates the health and environmental impacts of outdoor advertising, with
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PhD studentship: Systems pathology of the breast tumour microenvironment in obesity. Supervisor: Dr H Raza Ali Department/location: Cancer Research UK Cambridge Institute Deadline: 17 August 2025
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construction of creek networks to ensure the transfer of water, sediment and nutrients around the site. However, the current approach to site design involves the use of pre-existing agricultural drainage ditches
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This PhD project offers the opportunity to explore a rich and rapidly developing area of research where powerful mathematical ideas unlock exact solutions in quantum physics. Most physical systems
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in peak flows continue to occur once surface storage is full, potentially due to their unique vegetation and micro-topography. This PhD will address research gaps in quantifying how much peatland
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at Cranfield which has a strong collaborative history with industry in the field of atmospheric icing science research. This programme provides the PhD candidate with an outstanding opportunity to work across a
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for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners
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, via the admissions portal (accessed via the 'Apply' button above) by midnight (23:59 GMT), 19th August 2025. On the ‘Choosing a programme’ page, please select (Neuroimaging) Research MPhil/PhD (Full