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for both Gaia and Plato, including automation, large scale distributed processing, data analysis and data management. The work involves systems analysis, design, implementation, testing, documentation and
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responsible for co-ordinating two large clinical studies within the CanRisk programme. The first is a feasibility study in primary care that looks to offer breast cancer risk assessments to women in the general
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programs. The role holder will report to Dr Ahmed Warsame and will have experience in management, organisation and maintenance of large volumes of materials and/or databases with hands-on expertise in
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customers. Your Skills You will have experience of working within a large and complex organisation, processing multi-frequency payrolls from start to finish and dealing on a day-to-day basis with all aspects
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cancer. The successful applicant will join a large, friendly and collaborative team of researchers with access to cutting-edge facilities and resources within the centre of Cambridge on the historic Tennis
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examinations each year, 70-80 of which are implemented on site. This involves on-the-day operations, the management of student scripts, the recruitment of a large team of temporary exam workers, and processing
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Fixed-term: The funds for this post are available for 18 months in the first instance. The University of Cambridge's Information Services is seeking an experienced Senior Software Developer to play
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an Administrative Assistant for the recruitment team who can support the process of enrolling large national cohorts of patients into the NIHR BioResource and their participation in subsequent research studies. About
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behavioural data, and contributing to evidence-based design tools. They will also support the development of large-scale design mockups and stakeholder-facing outputs. Further information on the "key
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on workflow optimisation strategies. Oversee the governance and strategic management of data within the Projects module, ensuring that data is appropriate, relevant and accurate to enable financial reporting