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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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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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in geomaterials. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer
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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