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-scale data analysis you will be able to demonstrate your expertise in using R and Python to process and analyse genomic data and to employ learning frameworks. Appointment is at either a grade 4 or grade
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team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent, with solid knowledge of computational coding applied
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this broad area will be encouraged. The successful applicant is expected to help produce independent and original research within Royal Holloway’s Centre for Particle Physics and Astronomy, submit publications
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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leading on qualitative data collection and analysis for the relevant workstreams of the ADHOC programme, the main duties will include contributing towards the ADHOC Trial at all stages by applying agreed
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future in live music. If successful, you will work with Project Lead, Professor Jen Parker-Starbuck to develop a foundation of knowledge relating to performer, venue and audience perspectives on the use
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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computational methods. You will not only employ cutting-edge multi-omics analysis pipelines but also develop new computational techniques to study cellular communication and investigating new targets for drugs re
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Reviewer software. You will support the development of grant applications as appropriate, and advise junior staff on the use of Eppi Reviewer. You will also be expected to undertake reasonable administrative
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should have a PhD (or close to completion) in applied health-related social science (e.g. health psychology, medical anthropology, public health). Applicants require experience of running research studies