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for statistical analysis together with experience of analysing real world data. Good track record of peer reviewed scientific publications, excellent team working and communication skills are also essential
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, statistics or relevant subject area such as molecular biology. You should have strong computational skills and have past experience working with RNA and small compound data sets. Critical thinking, good
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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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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
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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
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statutory data returns to the Higher Education Statistics Agency (HESA), supported by other team members. The returns are large (HESA Student has c. 3 million rows of XML data), and the quality of the data
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environment. You should be proficient in statistical programming languages such as R and/or Python, with experience in developing new and innovative bioinformatic techniques. Application Process You will be