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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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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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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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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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. Experience in high content imaging, immunohistochemistry, W-blot, PCR, bulk and/or single cell RNAseq and in generating and analysing ‘omics data would be desirable. Diversity Committed to equality and valuing
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London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful team with access to both cutting-edge computer power and advanced
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contributing to publications. Experience in high content imaging, immunohistochemistry, W-blot, PCR, bulk and/or single cell RNAseq and in generating and analysing ‘omics data would be desirable. Diversity
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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anion photoelectron spectroscopy (imaging) both in the time and frequency domains. The research project aims to exploit these methods to develop an understanding of electron-driven chemistry of water
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. The research requires experience in high vacuum systems, laser, molecular beams and laser desorption sources, charged particle beams and optics, velocity-map imaging detection, and the associated data processing