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to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq
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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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high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens at Kew regularly to liaise with
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learning and statistics as well as proficiency in the use of programming languages and statistical analyses are essential for this post. Previous research experience applying machine learning methods
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methods; probabilistic/statistical verification and synthesis; planning and game theory, as well as have proven experience of software development in relevant areas, such as SAT/SMT, statistical inference
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skills will give them the ability to work and liaise with young people, parents, schools and study teams as well as being able to write text that can be published. Experience with statistical data analysis
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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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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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with associated analytical and statistical skills. You will be able to develop of new analytical methods and to demonstrate their utility in biomedical research. A track record of producing high-quality
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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