204 programming-"the"-"DAAD"-"UCL"-"FEMTO-ST"-"Dr"-"IMPRS-ML" PhD positions in United Kingdom
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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 whilst enhancing professional
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receive mentoring and outstanding training in modern crop genetics, genomics, data analysis, and bioinformatics. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully
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experience in relevant areas is desirable. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2025 entry. The programme offers
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through exchange opportunities with the group’s collaborators (e.g. at the Wenner Gren Institute/University of Stockholm). The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is
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attend national/international conferences to present their research. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry
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the systems-ML stack. This makes a cohort-based programme vital, treating ML Systems as a holistic discipline. Cohort interaction, and integration, give students real experience across multiple systems
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(or equivalent) with a UK Masters degree (with average programme mark of no less than 65%) or International equivalent. English Language requirement of IELTS band 7.0 or above with not less than 7.0 in each
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apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search
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candidates will have the difference between the UK and International tuition fees provided by the University. How to apply: All applications should be made online via the above ‘Apply’ button. Under programme
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certification, dramatically accelerating innovation cycles. What you will gain: Expertise in Finite Element Analysis, Scientific Machine Learning, Uncertainty Quantification, and Professional Programming