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Field
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, conducting field trials of such interventions is challenging due to complex logistics and uncertain outcomes. We aim to develop novel methodological strategies that can reduce the resource requirements
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. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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The objective of the post is to contribute the delivery of a collaborative project funded as part of the UKWIR Chemical Investigation Program 4 - Emerging Substances Endocrine Disruptors project
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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to 31 March 2027. The successful applicant will carry out experimental and computational work related to this project. The post will include the following duties: To undertake research, to act as research
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an ambitious programme combining collaborative work with health researchers and the development of novel statistical methods to address complex biomedical challenges. About the role The postholder will join the
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health, and unequal health and care outcomes. We particularly need to improve care for children with disabilities, complex needs and who face a range of challenges in their lives. This role involves using
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Flag and is: i) an alert for possible cancer for GPs that appears on primary care blood test results; ii) an accompanying patient management pathway. This post is funded by the NHS Cancer Programme with
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a state-of-the-art Earth system models(UKESM). We are looking for someone experienced in analysing output from large, complex climate models or Earth system datasets, and who is experienced in or keen