372 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD positions in United Kingdom
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, and sensitivity to local communities. For full details see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/workemploymentorganisation
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
highly preferred, as the project requires advanced quantitative training. For full details, see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/accountingfinance
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, eligibility is restricted to UK nationals. Informal enquiries are encouraged and should be directed to: Dr Richard Horniblow, r.horniblow@bham.ac.uk https://www.engineered-microbiome.co.uk/
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patients in Dr Sreedharan’s clinic. In the lab, the student will learn a broad pallet of techniques to enable them to perform cutting-edge research to develop urgently needed treatments for ALS. The student
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, water quality and meteorological datasets routinely collected by water utilities. The student will have the opportunity of using state-of-the-art machine learning methods (predictive analytics) to analyse
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of Nottingham. The Rolls-Royce UTC at the University of Nottingham is a leading research institution specializing in the development of soft and continuum robots for challenging environments (https
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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time/Part time Funding Details: Fees fully funded, Stipend £23,805.00 per annum (Full time) For further information about the award, how to apply and for the information webinar, please visit: https
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the information webinar, please visit: https://www.rca.ac.uk/study/apply-to-study/funding-your-studies/funding-for-mphil-and-phd-students/doctoral-landscape-sch-net-zero-futures/ Fair Access and Widening
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through