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designs Increasing trust and explainability in automated decisions Traditional machine learning (ML) approaches require large volumes of annotated defect data and significant manual oversight
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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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Environmental Sciences (SoGEES). You will have a proven ability to contribute to all stages of data collection and analysis, from experimental design to the preparation of explanatory graphics. You should also be
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education is desirable, together with a desire to learn and grow within a professional and growing organisation. You will be expected to process, organise and interpret complex information quickly and
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research by providing programming support and data management for multi-centre healthcare randomised trials and other research studies. This includes tasks such as preparing randomisation schedules, setting
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Apply and key information Summary Caregiving for a child with a chronic, life-threatening or life-limiting condition is a complex family endeavor that extends far beyond the parental role. While
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, and analyse information to share onwards in a clear and concise manner. Applicants for this role should have some working knowledge of and a strong interest in the Research Excellence Framework, having
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Information. This is a fixed term post for 30 months. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject
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of work focused on exercise, rehabilitation and multiple long‑term conditions. You will take responsibility for leading the collection, evaluation and interpretation of research data, working both
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lead analyses of the data in half the post while supporting the delivery of mechanism work package of the ATTEND study. They will be based in Cambridge but liaise with colleagues in the Universities