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Learning" team has AI expertise and we have a high-performance IT infrastructure available. For our "Computer Vision and Machine Learning" team, we are looking for a student assistant as soon as possible
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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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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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Since 2020, Fraunhofer Heinrich Hertz Institute has worked with United Nations
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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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-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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data to modeling in digital representations to the final visualization and human-machine interaction. We develop modern AI solutions in the areas of 2D/3D image and video understanding, computer vision
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age-related macular degeneration (AMD). AMD is the most common cause of vision loss in elderly affecting about 300 million people by 2040. Currently, there is no effective treatment for the majority
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Description If you love vision research and cutting-edge imaging technologies, consider joining the AO Vision Laboratory at the University of Bonn as PhD student. We are seeking enthusiastic and