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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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. Experience conducting systematic literature reviews or meta-analyses to inform model assumptions would be advantageous. We are seeking a self-motivated researcher with a PhD (or near completion) in Building
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support application based on Ningbo financial intelligence ( 基于宁波金融智能化的信用风险评估和决策支持应用研究 ). Key team members are: Dr. Hang ZHOU is Assistant Professor in Finance. He received his PhD from the university
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We are seeking a highly motivated and skilled Research Associate/Fellow to join an innovative translational research programme focused on childhood brain cancer. Based at the University
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specific tissue models. The post will be based within the School of Life Sciences with periods of secondment to Prof Shrike Zhang’s Laboratory in Harvard University, USA. The ideal candidate is highly
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multipartner cluster, supporting researchers by adapting microfluidic platforms to a range of specific tissue models. The post will be based within the School of Life Sciences with periods of secondment to Prof
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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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researchers and senior academic staff within the academic respiratory medicine department, alongside a group of clinical research fellows and non-clinical PhD students training in respiratory medicine. You must
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PhD Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. Excellent communication and