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. You will build a clinical trial-ready cohort by developing an accurate, scalable sequencing and bioinformatics pipeline, alongside genetic risk stratification, positioning Newcastle as a world leader in
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, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively-controlled structural colours
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Statement’. Put code ‘TC122’ in ‘Studentship/Partnership Reference’. When prompted for a research proposal, select ‘Write Proposal’ and enter the project title from this advert. A research proposal is not
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meet the residential eligibility criteria for UKRI funding will be considered. The successful applicant who is offered a place on this course will be offered a fully-funded scholarship, covering all
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
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’ opportunities and agency, using qualitative and creative methods (e.g. “Theatre of the Oppressed” or others). Please note - this position includes full funding for PhD tuition fees (UK rate) for a duration of
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to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8208F leave the
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: Select ‘Postgraduate Research’ in the 'Type of Study' field Select ‘Full Time’ in the ‘Mode of Study’ field Select ‘2025’ in the ‘Year of Entry’ field Enter programme code 8420F in the ‘Course Title’ field
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programme of study: · search for the ‘Course Title’ using the programme code: 8208F · leave the ‘Research Area' field blank · select ‘PhD Energy