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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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. Hands-on experience of specialist biophysical methods, such as FRET, FLIM, AUC, SPR. F4. Hands-on experience of STED imaging and image processing. F5. Hands-on experience of cryo-ET sample preparation
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Medicine (SCMMS) and Biomedical Engineering and Imaging Sciences (BMEIS) at King’s College London (St Thomas’s Campus). The post will suit someone with a PhD in the cellular mechanisms of injury in small
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experiments and computational/bioinformatics analyses. Generate, process, and analyse multimodal datasets including immunohistochemistry, multiplex imaging, and spatial transcriptomics, integrating findings
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multimodal brain imaging techniques with novel neuromodulation. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form
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; experience of working on biological systems and/or craniofacial system; experience in image processing and material characterisation. The post is initially funded for 3 years and will be subject to standard
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid