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considered. The post The Faculty wishes to recruit a Research Associate in statistics for HTA to support the work of Peninsula Technology Assessment Group (PenTAG). This externally grant funded full-time post
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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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large and complex datasets, using a combination of data analysis, machine learning, and statistical techniques. This is a new job role within an evolving Data function to working on delivering
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experts in statistical genomics, genetic epidemiology, epigenetics, data science and AI, and we are particularly interested in hearing from individuals and teams with strengths in functional and/or
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/experience in Computer Science, Artificial Intelligence, Statistics, Optimisation or related field with a strong focus on machine learning, optimisation or related areas An excellent track record of publishing
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psychology or organisational psychology, with substantial expertise in mindset interventions, including high-impact publishing in this area (e.g., in leading journals), advanced statistical analysis
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or more of the following areas: Spatial statistics Biogeography Landscape ecology or connectivity analysis Population modelling GIS Conservation planning Applicants should possess an interest or experience
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statistical analyses, diagnostic tools, conference presentations. The project will also involve connecting with families with ADHD throughout and it will provide an opportunity to the postholder for to engage
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proficient in using the R statistical package and will have familiarity with packages used to analyse bulk and single-cell transcriptomic datasets, ChIP-seq data, pathway enrichment analysis and gene
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candidates with strong skills in one or more of the following areas: Process-based (structural) modelling of the environment, economy or environment-economy interactions. Data analysis, fitting of statistical