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to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and
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framework for MR image super resolution using high fidelity CFD data. Validate the software using MRI scans of arterial flow phantoms. Collaborate directly with clinicians to maximise the translational and
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Laboratories at the Clinical School, University of Cambridge. The GBC provides analytical and data management support to research groups within the Metabolic Research Laboratories (MRL). This covers aspects
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
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, mammalian cell culture, cell-based screening and proteomics. You will also contribute to experimental planning, data analysis, record keeping, preparation of figures and reports, and presentation of results
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. The post holder will be located in Civil Engineering, West Cambridge, Cambridgeshire, UK. Applicants must have (or be close to obtaining) a PhD in Civil Engineering or a relevant discipline; to have
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domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively remove the influence of specific data from trained models becomes critical. Yet, despite the EU’s
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Applications are invited for an experimental researcher post available for 24 months. The researcher will be part of the NanoManufacturing group, which looks at various aspects of nanotechnology and
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nursing services and rural coastal community healthcare settings. The role will involve leading the analysis of quantitative and qualitative data, writing papers and conference presentations. You will be
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unique experimental platform developed in the Bakshi Lab (https://www.bakshilab.net/ ) that enables time-resolved measurements of individual bacterial cells throughout the phage infection process. The post