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, Nature Energy 2024] to image operating perovskite solar PV cells with high spatial (hundreds of nanometers) and temporal (hundreds of picoseconds) resolution. This project will push these capabilities
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Faculty of Medicine and Health Leeds Institute of Cardiovascular & Metabolic Medicine Are you an ambitious researcher looking for your next challenge? Do you have a background in Medical Imaging
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experimental research Understanding of ocean acidification impacts to calcifying organisms Experience in image analysis Skills in working across interdisciplinary teams
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including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and predictive analysis for Novartis Oxford collaboration for AI in medicine. The collaboration
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Generative Modelling to apply and develop cutting-edge deep generative probabilistic models including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and
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of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). The position will focus on neuroimaging and neurocomputational studies of learning and brain plasticity. Our studies combine ultra-high field brain imaging
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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matrices. They pave the way towards multi-layered: multi-coloured, -spectral, -helicity, high spatial and temporal resolution unclonable QR code generation with an unprecedented 5 layers of 'invisible