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analysis. This role offers a rare opportunity to bridge public health and building science. You will also have the chance to teach built-environment researchers about health-risk and epidemiological
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searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty analysis. This role offers a rare opportunity to bridge public health and building science
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, alongside a group of clinical research fellows and non-clinical PhD students training in respiratory medicine. You must have practical experience of data analysis using CPRD or equivalent primary care
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default forecasting system that incorporates latest machine learning, age-period-cohort (APC) analysis and stress testing capabilities based on economic and other external factors. The system should be
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have practical experience of data analysis using CPRD or equivalent primary care datasets and experience of developing new approaches, models, techniques or methods using primary care data. Research in
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, management, and qualitative analysis of data sources related to forced labour risk and decent work assessment of the food system. The purpose of this role will be to support the principal investigator
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analysis or life cycle assessment would be advantageous but is not essential. The ability to work independently and as part of a multi-disciplinary team, along with a strong commitment to producing high
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the expertise we are seeking; however, this list is not exhaustive: Strong qualitative research and analysis skills. Skills in philosophical and/or theological inquiry. Ability to foster a collaborative, team
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for construction and testing. Our team is world leading in advanced electrical machines design, analysis, manufacturing, and testing. The role holder will become part of the team working in this state-of-the-art
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We are looking for a highly motivated post-doctoral researcher to work on the data searching, processing, management, and qualitative analysis of data sources related to forced labour risk and