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strong track record of scientific publication and novel idea generation. You will have strong programming skills and expertise with computational methods for neural/behavioural data analysis. You will have
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are invited for a Postdoctoral Research Associate in the field of agent-based modelling of past societies, working on the Science, Society and Environmental Change in the First Millennium CE (SSE1K) project
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candidate with skills and experience in some of the following areas: Quantitative approaches such as longitudinal data analysis, analysis of large datasets and/or data science Experience of working with
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University Department of Psychiatry, clinical institutions such as Cambridgeshire and Peterborough NHS Foundation Trust, and with a secondment to industry (Akrivia Health) to advance science and develop common
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across the Respiratory Science disciplines with a vision to eliminate lung disease by prevention, early diagnosis and improved treatments. We are leading the field in understanding mechanisms of disease
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a
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The Department of Political Science is seeking applications for a full-time Postdoctoral Research Associate. The position is part of the BreaktheBias Project, funded by UKRI and led by Professor
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science into advances in clinical practice. Our research focuses on four main Themes (Cardiac, Vascular, Cardiometabolic, Diabetes & Obesity), with two cross-cutting Themes (Basic and Clinical). The School
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skills and knowledge of biodiversity to plan and lead research on how biodiversity change is unfolding in the Anthropocene. This project will assess and analyse existing biodiversity and ecological data
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accessibility, flexibility, scalability, and scientific rigour. Funded by STFC for five years, SAMS brings together researchers from the Universities of Exeter, Warwick, Cambridge, and Sheffield. The codes will