1,251 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" PhD positions
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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Shape the Future of Finance Research Join a globally recognised programme designed to equip you with the expertise, skills, and confidence to excel in cutting-edge research in finance. As part of
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Shape the Future of Accounting Research Join a globally recognised programme that provides the expertise, skills, and confidence to excel in pioneering accounting research. As part of Henley
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · Search for the ‘Course Title’ using the programme code: 8315F · Research Area: Marine Science
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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
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possible, please contact Professor Gill Elliott once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants will have or expect to have an MSc, and/or
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The PhD programme at Bayes Business School (formerly Cass) , City St George’s, University of London is offering 15 PhD studentships comprising full tuition fees and maintenance grant of £22,780 pa
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8315F Research Area: Marine Science Select ‘PhD Marine Science (full time) as the programme of
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in the UK, and compare this to pathogen specific surveillance programs to determine the full extent to which metagenomic surveillance programs can give us genomic epidemiological level data