669 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" uni jobs at University of Sheffield
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(for example web-scraped) data Desirable Interview Track record, or the potential to develop a track record, of high-quality research publications Essential Application Knowledge of the arts and cultural funding
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external partners, and received grants from 39 funders. Our expertise include database development, computational ontologies, natural language processing, computational linguistics, data visualisation and 3D
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-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing Professional Development (CPD), which is embedded
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silk extrusion, which will guide attempts to produce synthetic silk in the lab. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes
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that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in biological, biotechnology and biochemical areas as well as equip you with core data
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research proposals, dissemination of research findings through peer-reviewed publications, academic conferences and engagement with policy and practice stakeholders and the public. You will develop your
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(developed in the framework of the project) of magnetic and coherent flow structures that contribute the most to the energy supply at different heights. The project will provide a comprehensive study of the
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
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developed as novel antimicrobials is of great interest currently. Among the bacteriophage a class of large, widespread, antibacterial viruses known as Jumbophage are receiving much attention due to the novel
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require the use of cognitive shortcuts. - To develop and fit computational models (e.g., reinforcement learning, Bayesian models) to participant data, allowing for a precise, quantitative definition of