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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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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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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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. Merits for this position: PhD acquired within three years of last application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context
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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