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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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vision. Bringing together researchers from physics, mathematics, computer science, communication, economics, and political science, along with leading professors, we drive excellence in research, agile
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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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to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers a project position, subject to the availability
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industry, with the REACT program serving as a strong foundation for their future success. Position and Requirements: At the Chair of Compiler Construction, we have a long-term vision of shaping how future
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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transfer. Its current five-year scientific programme, Molecules to Ecosystems (2022–2026), aims to deepen our understanding of life — from molecular mechanisms to complex ecosystems — with a strong emphasis
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! We
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. Its lean governance structure supports an agile and efficient implementation of its vision. Its sustainable, 37-hectare and partly residential campus will form the heart of a new district in Nuremberg
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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