900 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" "Dr" PhD positions in United Kingdom
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surveillance and provide an evidence base to predict future emergence of novel pathogenic types. The supervisory team consists of leading experts Dr Gemma Langridge, microbiology and E. coli genomics, Dr Evelien
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With Wales being a bilingual society, it
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through it’s research. Further details about the programme: https://collaboratoryresearchhub.ac.uk/ All 2026 studentships: https://collaboratoryresearchhub.ac.uk/2026-studentships/ Our university is a
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for sustainable harvesting and conservation. For further information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b19-marine-biodiversity-and-its-future-under
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
programme you are applying for. To Apply for this project please click on the following link -https://www.exeter.ac.uk/study/funding/award/?id=5733
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applicants to the cohort each year. You can find further details at https://www.centre-ub.org/studentships/call-for-applicants/ Informal enquiries about the project prior to application can be directed
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Although large numbers of adults attend Welsh for Adults classes
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funding to enrol on this PhD. For students from China, you are encouraged to apply in partnership with the China Scholarship Council - more information can be found here: https://www.nottingham.ac.uk
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven