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Field
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. This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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the presence of significant confounding factors Organise large-scale sequence data sets Communicate results at project meetings and conferences Present research outputs, including drafting academic publications
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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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School Meals in primary schools. Responsibilities will include participant recruitment, data collection and analysis, contributing to study outputs, as well as maintaining good communications with members
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detection framework for tipping points. Contribute to the design of scalable and interpretable forecasting strategies for large climate simulators, integrating adaptive sampling and Bayesian techniques
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models), clinical data science, and large-scale database analysis (e.g., FinnBrain, NeuroBlu, TriNetX). There will be excellent clinical exposure through psychopharmacology services in Oxford, London
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made. The project will involve using routinely collected healthcare data and/or large healthcare datasets such as the Clinical Practice Research Datalink. This is an excellent opportunity for someone
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theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics and PhD students, and communicate your research at national