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Collaborate with the recognition and reward element of the project to help create a values based recognition system to support practice change among participants piloting the leadership development intervention
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Salary: £47,389 to to £56,535 per annum, (with potential for market factor supplement) Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package
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to work on complex projects to challenging deadlines as well as excellent organisational, interpersonal and written skills. An essential element of this role will be your ability to influence stakeholders
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delivers accurate, timely, and insightful financial information while driving continuous improvement? We are looking for an enthusiastic and motivated Accounts Assistant to join our Financial Analysis
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or close to completion), as well as proven experience of software development. We are especially interested in interviewing candidates with experience in: Analysis techniques for different data types such as
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advanced data analysis techniques. You will be part of a Knowledge Transfer Partnership (KTP) project which aims to enable investment in sustainable lifesaving wireless sensor network systems under extreme
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, specifically taking a lead on coordinating the analysis of qualitative data from multiple study sites (up to 600 interviews), drafting outputs for publication and dissemination and supporting early career
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indirect comparisons, evaluation and analysis of real-world evidence, and economic evaluations through de novo economic models. You will work across two successful research groups, the Health Economics Group
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, including critical review of the clinical and economic components of company technology assessment reports, conducting network meta-analyses, matching-adjusted indirect comparisons, evaluation and analysis
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processing methods and workflows for satellite or airborne remote sensing data sets Experience in programming / statistical programming (e.g. Python), ideally applied to image analysis and georeferenced data