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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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the following areas: (1) cryptography, (2) Privacy-enhancing technologies, such as FL, (3) mathematics (including number theory and game theory), (4) machine learning, and (4) computer programming in C++, Java
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will Gain World-class training in stem-cell differentiation, retinal organoid engineering, vascular biology, and advanced imaging/omics.nei.nih+1 Transnational mobility and secondments across the Pandora
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists
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Campylobacter disease burden is assessed, identify drivers of change and possible interventions. You will explore how genomic diversity relates to clinical outcomes, whether machine‑learning approaches can
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-earth elements (REEs) are essential to key sectors in the modern economy including the electronic, energy, pharmaceutical and automobile industries. Despite their importance, these critical elements
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Sentinel-1, enable rapid large-scale flood detection but face challenges in generalisation, dependence on labelled data, and representation of hydrological processes. Existing UK operational systems combine
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, purified and tested for biological activity together, in a single operation taking as little as a week. You will apply this new approach to real drug targets in cancer, working at the interface of synthetic