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The Department of Statistics and Somerville College are recruiting an Associate Professor of Statistics. The successful candidate will be an outstanding individual who is, or has the potential
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. The laboratory uses a combination of statistical, computational, and experimental approaches to understand how processes in our cells lead to changes in their DNA. These changes include errors (mutations
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Norwich, UK. Background: The High-Resolution Microbiomics group uniquely focusses on both theoretical and experimental methods for microbial community analysis. Combining statistical bioinformatics with
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. MSc/PhD) in data science, statistics, epidemiology, or a related subject, have significant experience in analysis of large complex epidemiological datasets, using Stata, R or SAS, and have excellent
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epidemiology, applied mathematics/statistics or related discipline. 2. Have substantial relevant experience in quantitative research. 3. Have substantial experience of using statistical packages such as STATA
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Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject, have experience in the analysis of single-cell RNA-seq data (e.g. generated using 10X Genomics
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: Experience of statistical genetics and microbial genomics. Proven track record of publishing papers and peer reviewed journals. Excellent communication skills, ability to interact with a multi-disciplinary
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case bundles, gathering evidence to support decision making, clerking Fitness to Study panels, analysing student data and statistics, and acting as a point of contact to staff, students and parents. You
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internationally. We have methodological expertise in clinical trial design and implementation, clinical decision making and diagnostics, epidemiology, medical statistics, behavioural science, modelling, qualitative
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, statistics, mathematics, engineering or other relevant areas and have up-to-date knowledge in advanced AI topics, such as deep learning, representation learning, sequence models, NLP, multimodal AI, generative