437 programming-"the"-"DAAD"-"EURAXESS"-"IDAEA-CSIC"-"Prof"-"UCL"-"U" PhD positions in United Kingdom
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to: Bram Kuijper, a.l.w.kuijper@exeter.ac.uk . Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click the 'Apply' button
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Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following link -https://www.exeter.ac.uk/study/funding/award
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algorithms and machine learning. Strong background in programming (e.g. MATLAB, Python) and tools (e.g. Ansys, HFSS or CST Studio Suite). Good Hands-on skills using equipment and hardware platforms including
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flagship programme of research, Inventing Futures (IFs) . This studentship is for full-time study and covers home-level fees and an annual stipend at the level set by UKRI . International candidates
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properties. With your application, please provide a two-page project proposal for the PhD, outlining a plan for your PhD research within this area. Within the two-page proposal, please include a 250 work lay
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Programme (NSIP). The position is full-time and fixed-term until 31 March 2027. This interdisciplinary project is conducted in collaboration with the Department of Plant Sciences and other industry partners
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training will be provided. For informal enquiries, please contact Dr Graeme Kettles at g.j.kettles@bham.ac.uk. Funding notes: This project is being offered through both MIBTP and Darwin Trust PhD programs
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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cancer-focused disciplines. The TRACC+ Programme is funded by Cancer Research UK and NHS Education for Scotland and commenced in 2019. Vacancies are available within TRACC+ for trainees seeking doctoral
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International Ocean Discovery Program (IODP) Expedition 395 (June-August 2023), has shown tipping point behaviour during the Pliocene in the deep-water return flow of the AMOC (Sinneseal et al. 2025). The aim