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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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About us Our Big Data in Health team at the University of Southampton is based in the Primary Care Research Centre. We are an interdisciplinary group conducting innovative research to address
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part of a broader collaborative team, under the supervision of Dr Shivani Pasricha, you'll utilise advanced molecular genetic technologies like CRISPR and data analytics to understand infection dynamics
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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data. Experience with quantitative or mixed methods studies, including undertaking surveys, will also be beneficial. In addition, the successful candidate will be expected to be an active member of
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. More information about Medicine without Doctors can be found here . This post might require Level 2 Disclosure as the project progresses but the candidate will receive support processing it if required
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, conducting qualitative work, analysing qualitative data, and writing it up for publication. The work would include working with PPI and working with a multidisciplinary team. You will need experience
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extractions). The candidate ideally should be familiar with live tissue slicing and working with hIPSC cultures. Additionally, a major component of this post will also involve data analysis and interpretation
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Do you want to further your career by applying your quantitative data analysis and modelling skills as part of an international multidisciplinary project on developing early warning systems
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. The successful candidate will work in close association with teams consisting of laboratory-based and clinical researchers to deliver the project. Experience with analysis of transcriptomic data is essential. Role