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Field
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to establish the foundation for functional retinal imaging based on the dynamics of molecular processes [Progress in Retinal and Eye Research 93, 101170 (2023); The Journal of Clinical Investigation
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experiments using MEA electrophysiology, live-cell imaging, and related techniques. You will study neuronal failure and recovery after metabolic stress in rodent and human iPSC-derived cultures, and evaluate
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digital signal and image processing, IoT, cyber security, deep learning, and software systems. Applications in healthcare, multimedia, and sustainable urban environments are encouraged. School
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speed - Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace
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power consumption. Many emerging biomedical devices, such as non-invasive and indwelling systems, require reliable operation and continuous feedback on biochemical conditions at the device–tissue
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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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expression underlies nearly every biological process in eukaryotes. It is facilitated through transcription factors (TFs), which bind to DNA and influence mRNA production at target genes. Organism-wide changes
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of biological processes using diverse experimental systems. We apply state-of-the-art technologies, including high-resolution fluorescence microscopy, quantitative proteomics (HDX and XL MS), (cryo-)electron
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to study the effects of altered gas and pressure on the human brain. The studentship will start on 01 April 2026. This collaborative project is based at the University of Plymouth’s Brain Research & Imaging
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model characterisation strategies definition of the necessary equipment definition of the necessary processing algorithms Implementation/validation/drafting of scientific articles in collaboration with