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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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) Student Administration University Library Online Course Catalogue Webmail Uni Tübingen Advice for International Students Uni-Tübingen University Back Profile Back Facts and Figures Values and visions Awards
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international research environment covering a wide variety of research areas, such as algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence
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) Student Administration University Library Online Course Catalogue Webmail Uni Tübingen Advice for International Students Uni-Tübingen University Back Profile Back Facts and Figures Values and visions Awards
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Degree PhD in Neuroscience Course location Bochum Teaching language English Languages Courses are held in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter