366 programming-"the"-"IMPRS-ML"-"IDAEA-CSIC"-"RAEGE-Az" PhD positions in United Kingdom
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                Butt (j.butt@uea.ac.uk ) for further information. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme 
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                in RNA biology, biochemistry, and Oxford Nanopore sequencing. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2025 entry 
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                approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Working hours: Full-time (minimum 37.5 hrs per week). Working style: Primarily in-person at host 
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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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                Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project 
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                Structural Biology, Immunology, Cell Biology, Neuroscience and Synthetic Biology www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/projects/. PhD students at the LMB are affiliated with 
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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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                Research Park Biosciences DTP offers additional training under the Vitae Research Development Framework, which provides a personal development plan tailored to your needs and aspirations. The Norwich 
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                The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme 
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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