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). The salary for this post is £40,497 to £48,149 per annum. Your skills and attributes for success: The ability to use mainstream data science programming languages (such as R and Python) for data extraction
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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The Opportunity: You will use a variety of analytical methods and coding techniques, including social computational approaches, to analyse how emotional and identity-based narratives and visuals
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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-related factors of physical function and sarcopenia in older African adults. MUFASSA is a sub-programme of the Fractures in Sub-Saharan Africa: epidemiology, economic impact and ethnography (Fractures-E3
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Criteria A doctoral degree, or close to effective completion, in a relevant topic Relevant experience in optimisation, evolutionary computation or machine learning Contributions to peer-reviewed written
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assessment (HTA) projects commissioned under our NIHR Technology Assessment Reviews (TAR) programme, which inform National Institute for Health and Care Excellence (NICE) decisions about which new drugs and
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and translation. You will be based in the School of Electronics and Computer Science (ECS), working alongside an interdisciplinary team led by Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk), in
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) funded programme of research into eczema online trials, led in partnership with citizen scientists (Rapid Eczema Trials https://rapideczematrials.org/ ). You will play a senior and significant role in