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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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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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, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation
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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
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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maximise graphite lifetimes under irradiation, in unfamiliar AMR gaseous and liquid coolants. This post directly supports the Graphite Selection & Design programme, by developing and performing the novel
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, focusing on high-fidelity none-nearest neighbour entangling gates while addressing hardware overhead and thermal load in superconducting quantum circuits. The successful candidate will develop new