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this role. You will contribute to the design of research materials and make arrangements for data gathering, including data from interviews and surveys, while analysing and presenting qualitative and
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dives into data from online consumer feedback and the embedded environmental footprints of each stem. This project will focus on the interface between the product’s aesthetic and data-augmented generative
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(RIA) position represents an exciting opportunity to join the ESA/JAXA BepiColombo instrument team at the University of Leicester. We will soon be receiving the first data back from Mercury via the UK’s
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this role. You will contribute to the design of research materials and make arrangements for data gathering, including data from interviews and surveys, while analysing and presenting qualitative and
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Data-Driven Numerical Modelling of Materials for High-Temperature Nuclear and Energy Applications
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on the university's website, accessed by the 'Apply' button) for full details of this role. Further information For further information, please contact Haydn Wall, email h.j.wall@exeter.ac.uk , or telephone (01392
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, particularly in the area of data-driven analysis for metabolomics and general omics. In addition, you will be expected to contribute to the whole range of teaching and administration across the University’s data
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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. We will soon be receiving the first data back from Mercury via the UK’s only PI instrument: the Mercury Imaging X-ray Spectrometer (MIXS) (Emma Bunce PI). This post is one of three positions now
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About the Project As federated learning systems become increasingly embedded in high‑stakes domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively