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their research findings. Training in all the computational and experimental methods will be provided in the project, although relevant previous experience would be advantageous. Applications for this PhD project
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Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8214F The Research Area is: Physical Geography Select PhD Physical Geography (full
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Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with leading energy materials researchers and industry partners. Ion-exchange membranes are key
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Rising temperatures are intensifying climate-related risks in cities worldwide, with the greatest impacts often felt by marginalised communities. This PhD project investigates how nature-based
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our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically
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the 'Apply' button above. Under programme name, select School of Architecture, Building and Civil Engineering. Please quote the advert reference FCDT-26-LU8 in your application. This PhD is being advertised as
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code: 8060F · select ‘PhD Electrical and Electronic Engineering (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing
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should hold, or expect to achieve, a first-class or high upper second-class (2:1) honours degree (or equivalent) in Mechanical Engineering, Physics, or a closely related discipline. A relevant master’s