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interest in the role. For more information or informal enquiries, please contact Dr Shahab Dehghan, shahab.dehghan@newcastle.ac.uk and/or Prof Vladimir Terzija, vladimir.terzija@newcastle.ac.uk . We follow
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closely with project partners (Philippines, Vietnam and University of West London, UK) to analyse results, gather relevant data for modelling, and ensure accurate data collection Analyse data, interpret
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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simulation data and draw conclusions on the outcomes. Co-ordinate own work with that of others, use problem solving to affect the achievement of research objectives and contribute to the planning
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data analysis pipelines using ImageJ, R, MATLAB and relevant programming languages. Plan, troubleshoot and optimise experiments, maintain meticulous records, and prepare data, manuscripts and grant
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representatives. The post-holder will have access to a range of data resources to inform the model, including blood donor cohorts from the COMPARE, INTERVAL and STRIDES studies. It is anticipated the work will
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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methodologies to test hypotheses and identify suitable alternatives if technical problems arise as well as select, follow, and present scientific data from a variety of sources. You will contribute to discussions
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of Singapore's research and innovation ecosystem and aims to support the development of a sustainable, climate-resilient, and healthy city through data-driven design and policy-relevant research. The programme
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 3 months ago
function in the Safety and Surveillance group. Within a week of working here, your day could look like this: help shape the UK Government’s premier data-driven research service. You will participate in and