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collection, curation, quality assurance, and statistical analyses using clinical databases and research datasets Perform systematic reviews, pairwise meta-analyses, and network meta-analyses in accordance with
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following
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biology, developmental biology, evolutionary biology or a related field at time of hire. Hands-on experience with confocal microscopy. Competence in applied statistics. A record of peer-reviewed publication
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, with additional years dependent on funding and satisfactory performance. Duties include: Lead analyses of longitudinal epidemiologic and molecular data. Develop and apply statistical approaches
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, functional, and nutritional characterization, and their application in diverse food systems. The fellow will also contribute to the design, execution, and optimization of experiments using statistical
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science related discipline. You will possess established expertise in data analysis including statistical programming (e.g., STATA, RStudio, Python). You will demonstrate previous experience of contributing
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Location: 24-29 St Giles’, Oxford, OX1 3LB We are seeking to appoint a Postdoctoral Research Associate to join the Oxford Protein Informatics Group (OPIG) in the Department of Statistics
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research focused on cancer genomics, precision oncology, biomarker discovery, and translational cancer biology using cutting-edge computational, statistical, and multi-omics approaches. The Postdoctoral
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ability to engage with both quantitative and qualitative analysis of data (e.g., household surveys, spatial data, interviews, and ecological data), including statistical methods to account for trade-offs
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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in