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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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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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experience with Microsoft Office, and be able to work accurately with complex and confidential information. You will be a team player who can also use your initiative to prioritise tasks and meet deadlines
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You will be responsible for the day-to-day coordination of project activities, working closely with University academics and farm staff to ensure high quality data collection and adherence to agreed
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that integrate computational modelling, data-driven methods, or artificial intelligence with aerospace engineering. However, applicants with expertise in all areas relevant to aerospace engineering will be
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conduct of in-home, telephone, and online qualitative interviews. The role will also involve making a substantial contribution to qualitative data management and analysis. You will be part of a vibrant and
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. This posistion is available on a full time basis, 37 hours per week. For informal enquiries regarding the role, please contact David Oliver (David.Oliver@ncl.ac.uk ). More information about the Faculty of Medical
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Act as expert user of the various project specific systems, and Learning Platforms, including data extraction, running reports and for training other staff where appropriate Support the Programme
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/ data science/ public health with a strong background in quantitative methods/ statistical analysis and experience of ageing research. This post will provide opportunities to develop your career working