638 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" PhD positions in United Kingdom
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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SWAN Charter recognises commitment to advancing gender equality in Science, Technology, Engineering, Maths and Medicine (STEMM) employment in academia. https://www.gla.ac.uk/schools/bohvm/athenaswan
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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of light. [1][2] This emerging technology holds enormous potential, offering routes towards new forms of highly parallelised information processing (optical computing), point-of-care diagnostics, next
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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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An opportunity to apply for a funded full-time PhD in the College of Arts, Technology and Environment, UWE Bristol. The studentship will be funded by VIVO Hub project (UKRI / EPSRC): Ref: 2627-OCT
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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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Search’ to identify your programme of study: 8030F select ‘PhD Chemical Engineering (full time) – 8030F' as the programme of study You will then need to provide the following information in the ‘Further
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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