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. You will contribute to Technical Area 2 (Respiratory Risk Assessment), developing and applying quantitative health-risk and epidemiological models that link indoor exposures to health outcomes using
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applying quantitative health-risk and epidemiological models that link indoor exposures to health outcomes using measures such as Disability-Adjusted Life Years (DALYs). Working with built-environment
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), developing and validating models that quantify infection risk in buildings using airflow and pollutant transport modelling. This role focuses on linking building performance, ventilation design, and pathogen
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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multicentre clinical trials, economic modelling, and methodological research. About you You will be an established health economics researcher with significant experience and a growing international reputation
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We are looking for a highly motivated researcher, whose expertise lies in statistics, to work with Prof Theodore Kypraios on a project at the forefront of infectious disease modelling. The role
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, ependymoma. Using a combination of cell line models, patient-derived biofluids, and advanced molecular techniques, the project aims to profile the molecular cargo (including proteins, lipids and RNAs
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joint multi-state models for health care processes and disease progression”. The central aim of this 36 month project is to develop new methods for the joint modelling of disease or other healthcare
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datasets and experience of developing new approaches, models, techniques or methods using primary care data. Research in/ knowledge of lung cancer/ publications or poster/ oral presentations in lung cancer
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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