588 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " PhD scholarships in United Kingdom
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degree or international equivalent, in a subject relating to engineering, neuroscience or computer science. Further qualification such as an MRes is advantageous. The candidate must have/be willing
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: This is part of your personality: Above-average MA in
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characterisation and radionuclide partitioning using specialised experimental facilities within the NNUF RADER facility (https://www.nnuf.ac.uk/rader ). This will include the use of state-of-the-art facilities
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the programme of research. The minimum entry requirement is a first-class or upper second-class UK honours degree or equivalent qualification in psychology, nutrition science or related discipline. A Master’s
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Application deadline: 30/05/2026 How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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at least 2.1 in Engineering, Mathematics, Physics, Architecture, Geography or Computer Science. A Masters’ degree is desirable but not essential. The student will have the opportunity of taking a relevant M
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expertise at the intersection of semiconductor device physics and energy systems engineering, contributing to technologies that are central to the UK’s future clean energy infrastructure. Scholarship
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis