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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic
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process, advanced analytical techniques will be applied, including mass spectrometry imaging, chromatography tandem mass spectrometry, and scanning electron microscopy (SEM), in combination with
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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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part of SciLifeLab BioImage Informatics Facility (BIIF) as described below. The Vi3-Division gathers a unique combination of expertise in computerized image processing, human computer interaction, and
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the faculties of engineering, the natural sciences, and medicine at Lund University. Its vision is to bring together the most creative minds in a world-leading interdisciplinary research environment to help
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looking for a doctoral student who will carry out research in data processing and image reconstruction for spectral x-ray computed tomography, with particular focus on deep-learning-based image
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, interdisciplinary research group with extensive international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering
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at SciLifeLab, which provides national access to advanced imaging, training, and technology development. The Gothenburg node (IMT-GU) brings together the Centre for Cellular Imaging at the Sahlgrenska Academy
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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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basis of what we do lies in biology, but our research overlaps with other areas such as medicine, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200