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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high-dimensional immunological and clinical datasets generated
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) Experience working with high-performance computing environments and managing research data and computational resources A strong publication record (e.g. peer-reviewed publications or preprints) demonstrating
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high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including visualisations/plotting preparing and documenting meetings and
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, subject to a successful review, the post-holder will be eligible for reappointment until retirement age. The Associate Professor will develop a world-leading research programme in climate physics and earth
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and independence, is essential. This post offers an excellent opportunity to develop research expertise within a supportive and high-performing academic environment. What we offer At the university
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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This vacancy is for internal candidates only About the role This part-time role will support a test programme to study how Heat Exchangers perform in distorted flow. You will run experiments on a
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. This role focuses on the aerodynamic modelling of floating wind turbines and their dynamic response under realistic wind and wave conditions. You will conduct high-fidelity CFD simulations of floating