7 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FAU Erlangen Nürnberg •" scholarships at Loughborough University
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removed, and valuable post-process water streams are frequently discharged due to insufficient monitoring. This project will investigate the fusion of data streams from ultraviolet (UV) fluorescence imaging
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: Diagnosis, RehabilitatiOn & Prognosis) – www.lboro.ac.uk/research/clusters/raindrop/ . The Doctoral Researcher (DR) will join a cohort of DRs who will be working on a series of interlinked, interdisciplinary
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strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
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, primarily due to validation gaps in high-pressure boiling phenomena and the lack of high-fidelity experimental data. Building on recent advances in non-intrusive, high-resolution optical diagnostics
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resilient economies. Supervisors Primary supervisor: Professor Martin Tuuli Secondary supervisor: Dr Freeman Owusu Entry requirements At least a 2:1 honours degree (or equivalent international qualification
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or further information, please direct all queries to Dr. Lulu Xu at l.xu@lboro.ac.uk Funding information: As this is a China Scholarship Council (CSC) based scholarship this is only open to Chinese nationals
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. Funding information: Studentship type – UKRI through FLOOD-CDT . The studentship is for 3.5 years and provides a tax-free stipend of £20,780 per annum plus tuition fees at the UK rate. Due to UKRI funding