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personalities who need space for their continuous striving and curiosity in order to be able to be scientifically successful. The advertised position is allocated to the Faculty of Life Sciences at the University
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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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larvae, with their translucency, provide a powerful platform for live imaging of cell–cell interactions at subcellular resolution. Using lineage-specific fluorescent reporter fish, we have observed close
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editing), transcriptomics, laser scanning confocal microscopy, computational imaging approaches for analysis of images and movies, stimulating neuronal function with opto- and thermo-genetics in vivo, and
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will also work closely with our industrial partner on process engineering for a scalable prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from
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management. We also welcome interdisciplinary proposals spanning the above research areas, with the potential to positively impact on the lives of individuals, organisations and society. For all enquiries
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shifts to design and test sustainable, open-source workflows that support immersive environmental visualisation and wider community engagement. This PhD aims to design, prototype, and evaluate affordable
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Amount: Annual stipend for 3.5 years at UKRI stipend rates (set at £20,789 in the AY 2025-26), plus tuition fees waived. Level: Postgraduate research (Edinburgh campus; full-time) Eligibility: UK
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Home rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 3.5 years. Please note the eligibility criteria set out by the UKRI at: https
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Scoliosis (AIS). Although surgery straightens the spine, AIS is associated with poor self-image and psychological distress. This project will investigate this, developing assessment and management tools