661 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "Univ" scholarships in United Kingdom
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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Fully Funded Studentship: Investigation of PFAS Occurrence and Transformation in UK Receiving Waters
computational analysis that will develop the students’ capabilities and skillset in both areas. Importantly, the student will receive training in fieldwork, analytical chemistry and data science. Candidates must
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Applications are invited for an ESRC-funded North West Social Sciences Doctoral Training Partnership (NWSSDTP) PhD studentship (with potential to apply for 1+3 award) at the University of Central Lancashire. The studentship is for up to 3.5 years full time (tuition fees and annual stipend at the...
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academic and industrial. Please check the hub website for further details: https://www.liverpool.ac.uk/energy-transfer-skills-training-hub
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conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ CDP doctoral training grants fund full-time studentships for 48 months (4 years) or part-time
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/ . How to Apply: All applications should be made online via the above 'Apply' button. Under programme name, select Mechanical and Manufacturing Engineering. Please quote the advertised reference number: FP
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not essential How to apply: Interested candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https
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application for this project at http://www.bris.ac.uk/pg-howtoapply . Please select
on the Programme Choice page. You will be prompted to enter details -
some administrative duties Complete the training programme for PhDs at the University of Vienna Disseminate and present your work and represent the group through both scientific and public channels and
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ . The project is funded in collaboration with Ward & Burke, a leading engineering firm specialising in the design, manufacture, supply