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contributes to real-world solutions and lasting global impact. If you're passionate about enabling r What We Offer Working at the University of Oxford offers several exclusive benefits, such as: 38 days
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commensurate to their experience, have demonstrable experience in developing, implementing and using omics pipelines, be proficient in R and Python programming and in statistical analyses. Candidates should also
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, proactivity and productivity with high motivation and ability to persevere Experience with spectral flow cytometry Experience in analysis of scRNAseq data using R Experience in working with human blood samples
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spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl, CellPhoneDB, CellChat, NicheNet, Seurat. In
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any queries about the role please contact: Prof. Mark R. Crimmin, m.crimmin@imperial.ac.uk Attached documents are available under links. Clicking a document link will initialize its download.
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. Experience building interactive and engaging visualisation tools/dashboards in R Shiny, Microsoft Power BI, Tableau or similar bespoke software dashboards. E3. Experience of using government statistics
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field Experience in teaching or training within higher education or research settings Proficiency in bioinformatics tools and methods, including scripting in R and/or Python Familiarity with omics data
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. Possess experience of using Linux operating systems. You will bring: Fluency in programming languages such as Python, R, and C++. Strong analytical and problem-solving skills to identify and resolve issues
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statistical methodologies and experimental design and power analysis. Skilled in required programming languages such as R and Python. A commitment to best practices in data security, governance, and analysis
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collaborators. References 1 E. C. S. Slate, R. Barker, R. T. Euesden, M. R. Revels, and A. J. H. M. Meijer, MNRAS, 497, 5413–5420 (2020). View DetailsEmail EnquiryApply Online