502 programming-language-"University-of-Exeter" Fellowship positions in United Kingdom
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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this highly clinically important research programme. The role will give you wide exposure to different research methodologies, allowing you develop a critical understanding of research in this area and will
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disease diagnostics and make a lasting impact on global health. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional
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interventions delivered in childhood on later youth violence and offending. The project involves secondary data analysis of two Randomised Controlled Trials of the Incredible Years parenting programme delivered
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involved in several innovative trials in neuromuscular disorders and Angelman syndrome and leading ambitious programs in digital biomarker discovery and genetic screening of neonates. The successful
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resources, and plan and progress work activities on multiple projects Desirable Interview Further Information Grade Clinical Academic Trainees Salary £52,656 - £73,992 Work arrangement Full-time Duration 30
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), and a detailed research programme (maximum 5 pages), and names of two referees. Please send as a single PDF file. The University of Oxford is committed to equality and valuing diversity. All applicants
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Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs
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research programme that rethinks how container supply chains (CSCs) are studied in the context of risk, resilience, and sustainability, as part of a prestigious European Research Council (ERC) initiative
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This research assistant post provides an exciting chance to support a Cancer Research UK funded programme of research that aims to improve access to lung cancer early detection for individuals with