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or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
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computational photography. The specific focus is on research and development of methods and mathematical analysis relevant to perception, image formation, and computer graphics. The general focus is on research
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics data, and
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analysed using advanced optical techniques such as: High-speed imaging Laser-induced fluorescence Particle image velocimetry Experimental and numerical results will be evaluated and compared to refine both
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network
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carcinoma xenografts in immunocompromised mice. They will treat mice with appropriate chemotherapy regimens and image them using different imaging platforms. Primary human organoids will be established and
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research