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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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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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on the microscopic level translates into the function on a macroscopic level. Imaging biomolecules, together with trace elements, is vital in understanding complex processes, disease mechanisms, or the effects
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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We are looking for a PhD candidate fascinated by the response of quick clays that can change from solid to liquid with small environmental perturbations. We want to be able to understand how a
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structural biology, molecular biology, biotechnology or equal. You have extensive experience in EM data collection (SEM, TEM and/or Cryo-EM) and analysis. Very good computer skills with a focus on image