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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
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build the sustainable companies and societies of the future. The research subject Process Metallurgy at the Department of Civil, Environmental and Natural Resources Engineering is looking for two doctoral
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extension, with placement at the Institute of Biomedicine. First day of employment as agreed. Selection process Help for appliants. Contact information If you have any questions about the position, please
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agreed. Selection process Help for appliants. Contact information If you have any questions about the position, please contact Dr. Joan Camuñas Soler: joan.camunas@gu.se Unions Union representatives
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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. The position will primarily involve research relating to developing X-ray tomography including in-situ experiments and 3D/4D image analysis (tool development and data analysis) for metallic materials analysis
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research environment. You should have prior experience with experimental molecular biology techniques, tissue processing and imaging. You also have strong technical and analytical skills. Previous experience