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complex information clearly and concisely, and to produce high-quality written scientific materials. The ideal candidate will also possess robust critical thinking and analytical problem-solving skills
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. They will play a central role in data management, statistical analysis, interpretation of findings, and the preparation of outputs for academic, policy, and practitioner audiences. The role offers
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iterative design–make–test–analyse (DMTA) cycle, drawing on structural and biophysical data generated by a paired biophysicist/structural biologist postdoc (to be recruited separately). They will also
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and molecular data from prospective cohort studies. The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data
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models) to extract and compare outcomes reported across clinical trial registries, protocols and publications. Working with computer scientists, statisticians, trial methodologists, outcomes researchers
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analytics, and generative AI approaches for pandemic preparedness and response. You will collaborate with international partners across Europe and beyond, analyse complex health and surveillance data
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protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research
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protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research
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the department and the funding agencies. The successful candidate will join the Machine Learning & Data Science research group and conduct research on the mathematical theory of deep learning as part of the joint
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biosynthesis. Key Accountabilities Research Assistant Collect, analyse and interpret research data and draw conclusions on the outcomes. Co-ordinate own work with that of others, use problem solving to affect