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, a unique opportunity opens up for you: Explore the potential of machine learning and computer vision to revolutionize autonomous flight systems. In close collaboration with leading industry partners
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, are all essential advancements to enable a wider and more secure deployment of the technology. Most biometric systems are based on image analyses. Therefore, exciting challenges in the computer vision
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Announcement for fields of study such as: Automation technology, software engineering, computer engineering or comparable. Fraunhofer IPA is an institute for Manufacturing Engineering and Automation
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages, PyTorch Familiar with foundation models (vision large models or multi
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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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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
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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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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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the Collaborative Research Centre 1340 ‘Matrix in Vision’, glycosaminoglycans (GAGs) and their complexation to cationic imaging probes are investigated using a range of different techniques. The position to be filled