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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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favourable working conditions? We welcome you to apply for a postdoctoral research position in Computerized Image Processing for data-driven precision medicine at the Department of Information Technology
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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analytical chemistry and mass spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. As a postdoc fellow in the AMBER programme you
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on our earlier work on community and ecosystem processes across elevational gradients in mountains (https://www.nature.com/articles/nature21027 ). Following from that work, and to better understand
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Research Infrastructure? No Offer Description Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging
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ecosystem processes across elevational gradients in mountains (https://www.nature.com/articles/nature21027). Following from that work, and to better understand the mechanisms involved, about a decade ago we