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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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developmental biology or a closely allied discipline, with experience in designing, undertaking and analysing large scale experiments with invertebrates or relevant experience of spermatogenesis in other species
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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leading role in the analysis of host-response genomics in large patient cohorts, including those from recent and ongoing Covid-19 studies. Working with clinical outcome data, you will perform genome-wide
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communication skills to collect empirical data, as well as knowledge of the dominant paradigms, theories, and empirical methods applicable to the topics mentioned above. Candidates who have strong knowledge and
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well as competence in handling sensitive and confidential data. The candidate will work closely with the Principal Investigator and other team members to integrate experimental findings and theory to develop new tools
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grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience
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. The successful candidate will join a large and diverse group of researchers covering nuclear structure physics, nuclear astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme
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qualitative skills. The department The STAMINA research unit has been successfully undertaking large multi-centre clinical trials of complex behavioural interventions in NHS cancer populations for over a decade
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platform and support for large-scale and wide-ranging research projects and has collaborations with researchers across the University of Plymouth, the NHS and national and international research groups. We