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with a strong commitment to sustainability and cutting-edge research. You will be part of a team alongside expert supervisors: Professor Zecca, chair of healthcare technology, with 20+ years
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-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme
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Supervisor’s full name & email address Dr Yixue Shen: Y.Shen1@leeds.ac.uk Co-supervisor name & email address Professor Christine Unterhitzenberger: C.Unterhitzenberger@leeds.ac.uk Project summary Artificial
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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
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background and an interest and expertise in physical, computational and/or analytical chemistry. Please note that this is a 4-year Graduate Teaching Assistant (GTA) studentship, with a slightly higher teaching
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of Film, Culture and Society at UCL and secondary supervision by Professor Matthew J Smith at UCL (LBS/Department of History). The student will participate in the Research Training programme and will have
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Funding Source: Warwick Industrial Fellowship (WIF) in partnership with Hydrograph Eligibility: UK only Supervisors: Professor Tony McNally, Dr Fengzai Tang Supporting Company: Hydrograph (see Home
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Informal enquiries are very welcome and can be made directly to Dr Nicole Kapelle (nicole.kapelle@tcd.ie), Assistant Professor, Department of Sociology. To apply, candidates should submit: 1. A
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This PhD project aims to reduce—by approximately an order of magnitude—the time and computational effort required to evaluate point-defect energetics in technologically important mixed-anion
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of TB this country. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is