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Field
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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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, especially deep learning in the area of Pattern Recognition (e.g., computer vision, physiological signals, brain imaging data, supervised and unsupervised learning). Help as an assistant in teaching, help in
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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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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systems for analysis, support, and diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure
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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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) Theoretical knowledge and practical experience in artificial intelligence-driven techniques for image processing Excellent proficiency of oral and written English in a scientific context Meriting criteria
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of Gothenburg promotes equal opportunities, equality and diversity. We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly
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. Description of PhD Project The PhD project “Monitoring Anterior Segment Perfusion and Oxygenation During Strabismus Surgery” aims to develop and evaluate non-invasive imaging techniques for real-time monitoring