96 phd-statistics-"University-of-Reading--------" scholarships at University of Nottingham in United Kingdom
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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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for bearings for which no experimental data has yet been obtained. This PhD studentship will be hosted within the “Mechanical and Aerospace Systems” research group at the University of Nottingham. For almost 25
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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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statistics, social sciences, health economics, health psychology, and will be expected to complete a PhD during the award period. Guidance notes can be found below, along with details of the specific research
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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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sequencing, qRT-PCR, western blotting, bioinformatics, ELISA, cell culture, statistics, and literature reviews. A working knowledge of these techniques is therefore desirable. We will compare subtypes, detect
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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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Qualification Type: PhD Location: Nottingham Funding for: UK Students Funding amount: Please refer to the advert text Hours: Full Time, Part Time Placed On: 25th April 2024 Closes: 12th June 2024 ESRC DTP
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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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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and