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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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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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/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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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
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have research expertise in high-throughput data analysis with competence in a UNIX/Linux environment and programming/scripting language. You will have a good understanding of statistics. You will have
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cell culture. Experience in use of mouse infection models. Proficiency in use of Graphpad and Excel and other Microsoft Office programmes, basic R skills, statistical analysis, use of image analysis
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. They will be advocates of open and reproducible science. Experience analysing large genomic datasets (e.g. single-cell RNA-seq, single-cell ATAC-seq and epigenomic data) and statistical genetics (e.g
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implement data-driven studies to analyse data on social media platforms such as Tiktok. Collect and analyse large datasets using statistical and computational techniques, and communicate findings effectively