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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference
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professional knowledge and successful track record in securing research funding. As a member of the LRWE, you will undertake statistical analysis of cardiometabolic real-world data from classical observational
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a statistical modeller with an interest in climate
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studies. They will be skilled in the use of Statistical Parametric Mapping (SPM) or similar open-source neuroimaging software and they will have programming experience e.g., using R, Matlab or Python
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Exeter Clinical Trials Unit (ExeCTU); Faculty of Health and Life Sciences Summary of Post Exeter Clinical Trials Unit (ExeCTU) is seeking an ambitious individual to join our growing statistical
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the water system. The Role We are seeking an experienced and highly motivated Research Fellow with a strong data and statistics background to support LPIP/FORTH2O in building a world-leading data and digital
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the research group analysing data to contribute towards the research project. As this role requires a PhD in Economics, Statistics or a closely related discipline, it provides an excellent opportunity to further
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health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real
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research, ideally within clinical research imaging teams Desirable criteria Knowledge of fetal MRI image analysis Statistical expertise Further information This post is subject to Disclosure and Barring