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for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans. You will apply computational approaches to describe spatial and temporal patterns across
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Application deadline: All year round Research theme: Nanomaterials This 4-year PhD project is fully funded for home students. The successful candidate will receive an annual tax-free stipend based
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Vapour fed electrolysers can generate green hydrogen even from impure water sources. However, water vapour itself contains gaseous impurities. During this 3-year PhD, we will design and characterise
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programme of study: · search for the ‘Course Title’ using the programme code: 8208F · leave the ‘Research Area' field blank · select ‘PhD Energy
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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should be submitted via the Engineering Materials PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name
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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in the Department of Computer Science and Technology at the University
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: · Search for the ‘Course Title’ using the programme code: 8090F · Research Area: Mechanical Engineering · Select ‘PhD Mechanical Engineering (full time) – Mechanical Engineering' as the programme
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start dates: 1 October 2025 (Enrolment open from mid-September) Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) Aligned programme of study: PhD