411 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-RIJEKA" Fellowship positions in United Kingdom
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of £37,897 to £45,580 per annum, with potential progression up to £52,067 per annum Apply by: 10/05/2026 Role Description We welcome applications from enthusiastic bioinformaticians or data scientists to join
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underlying the processing of natural visual stimuli, using in vivo large-scale two-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data
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directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated
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professional services teams. Further information For further information please contact Prof. Catriona McKenzie, e-mail c.mckenzie@exeter.ac.uk . Applications should be made via our website. For more information
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). Demonstrable familiarity with technology translation,commercialisation of research, or similar entrepreneurial activity. Experience in method development, validation, and quantitative data analysis. Experience
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genetic, neuroimaging and clinical data, will be combined to generate novel insights into biological and developmental processes contributing to autism and related traits. You will be responsible
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mean temperatures were approximately 5-10°C warmer than the 1970-2010 average. The role will involve the generation of ecophysiological data as measurements of plant performance and generating
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, there is potential for involvement in data analysis leading to conference presentations and/or authorship in peer-reviewed journals. Education & Leadership: You will be encouraged to deliver formal
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to £45,580 per annum, with potential progression up to £52,067 per annum We welcome applications from enthusiastic bioinformaticians or data scientists to join our flag-ship project ‘Developing a resilient and
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Responsibilities: Develop chemical and biochemical assays and analyses, conduct comprehensive laboratory experiments, data analysis and reporting. Design, develop, and test microfluidic devices for miniaturised