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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
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will serve as the Principal Statistician and Methodological Lead in Digital Trials for the EMBRACE programme, providing strategic direction and scientific leadership across the design, analysis, and
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the LISS DTP and to facilitate links between SSPP and LISS DTP across the component Schools and Departments of the Faculty, as well as working effectively across the LISS DTP partner institutions
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open-source software development practices Understanding of data analysis and processing pipelines Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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. Desirable criteria Familiarity with open-source software development practices. Understanding of data analysis and processing pipelines. Downloading a copy of our Job Description Full details of the role and