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to execution and data analysis, with a strong understanding of health data and personalised healthcare Evidence of writing peer-reviewed academic papers Demonstrable experience in medical or healthcare-related
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, payments), with strong numeracy and data analysis skills, demonstrating accuracy and a high degree of attention to detail. Excellent organizational skills with the ability to manage time effectively, work
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adverse events to the PI, sponsor, and regulators. Data cleaning and analysis, presentation of findings at scientific conferences, and write-up of papers for publication (these activities will be in year 3
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trials and or directly with clinicians Trained in psychometric testing. Further post graduate training in relevant areas of professional psychology and / or research design and analysis. Experience in
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. They will have skills in deep learning for wearable data analysis. Experience of studying health data science and/or machine learning for healthcare would be beneficial. This is a full time post (35
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numerical analysis, with a keen eye for detail and accuracy when handling complex data, employing a data-driven decision-making approach. Excellent working knowledge of IT systems, such as Microsoft 365
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to meet student training needs across the partner institutions including the Development Needs Analysis framework related work. The post holder leads all training related projects delivery working closely
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analysis. We particularly value conversation between scholars of different periods and places, with different approaches. We also value our connections beyond the world of scholarship, with strong
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, delivery and analysis of the intervention and continuous refinement and explore the acceptability and fidelity of the intervention. They will also have administrative duties including scheduling, preparing
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maintain delivery momentum. The postholder will provide high-quality, timely analysis, reporting progress to the Vice-Chancellor, the executive team, and to university Council, providing confidence in