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Field
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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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Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking
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criteria Experience with skeletal muscle tissue and single muscle cell (myofiber) handling Experience in handling, processing, analysing and interpreting large data sets Experience in mentoring, leading and
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T
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model, suited to integrated system modelling, and to contribute to centrifuge testing of novel anchors You will be involved in the holistic design of floating wind systems as part of a large team with
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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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, handling and processing of large data sets, knowledge of data acquisition systems, signal and image processing as well as experience in measuring acoustic pressures in cavitating liquids and high-speed
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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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2 Oct 2025 Job Information Organisation/Company University of Nottingham Research Field Juridical sciences » International law Medical sciences » Other Sociology » Other Researcher Profile
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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