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View All Vacancies Business School Location: UK Other Closing Date: Saturday 31 August 2024 Reference: FAB3 We are looking to recruit two high calibre and enthusiastic PhD researchers who will
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of Nottingham PhD Opportunity- UK Students only – not eligible for International students Health economic evaluation of community acquired pneumonia in the UK Project Description: Pneumonia is a common illness
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within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has
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the key information as listed prior to contacting a project supervisor to discuss your suitability for the position. Studentship Details One studentship available 36-month PhD 1st October 2024 start date
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relationships will be optimized to validate performance of novel RZAB cells. Responsibilities and Tasks As a PhD researcher, you will be responsible for designing and conducting experiments for designing and
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for fees and stipend for a 3-year home (UK) PhD studentship to work on a collaborative research project between the University of Nottingham and the University of Oxford to study the failure under impact of
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Guillermina Mendiondo (Brewing Science), Joe Bevan (Technical Innovation Manager, Molson Coors Beverage Company) Research Description An exciting opportunity has arisen to study for a PhD sponsored by Molson
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at the School is integrated into the University structure with established world class research in biomedical sciences. Project description: The PhD student will join an extensive team of scientists delivering a
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online application form, please select the School of Veterinary Medicine and Science, then PhD Molecular Medicine (and Complex Diseases) (48m) and, once submitted, send your student ID number to SV-PG-VET
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View All Vacancies Engineering Location: UK Other Closing Date: Monday 30 September 2024 Reference: ENG182 Supervised by Rasa Remenyte-Prescott and Rundong (Derek) Yan (Resilience Engineering, Faculty of Engineering) Aim: To develop a mathematical modelling framework to assess and optimise...