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and flexibility. We cover the whole data processing chain including image capture, image processing/computer vision and image content analysis with traditional and modern machine learning/AI methods
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, clinical, and engineering-oriented questions, including experimental, computational, and translational approaches. List of open projects: AI, Imaging & Biomedical Engineering AI models using imaging and
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 days ago
specialisations: Small Animal Internal Medicine (incl. subdisciplines), Small Animal Surgery (incl. subdisciplines), Anaesthesiology and Perioperative Intensive Care, Diagnostic Imaging, Emergency and Intensive
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awake behaving animals. Calcium imaging from ensembles of genetically-defined neuron populations and in vivo electrophysiology that allows for precise temporal resolution, are key techniques that provide
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods. Your qualifications as an
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods. Your qualifications as an
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 17 days ago
German level (C1) • Experience and skills in the application of modern imaging technologies (e.g. µCT methods) in the representation of biological processes in infection medicine) Main Research Field
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equivalent qualifications Expertise in one or multiple of the following areas: Machine Learning, Computer Vision, Image Processing, (Aerial) Robotics Excellent programming skills in Python (possibly also in C
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advanced image processing and segmentation methods – computational and statistical analysis of large-scale neuronal activity datasets • Very good programming skills in Python (mandatory). • Teaching
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the mechanisms of natural ageing, linking molecular processes to repository conditions, and revealing the environmental resilience of documentary heritage. As a member of this team, you will not just be studying