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systems that go beyond the state of the art by developing advanced vision sensor concepts, scalable embedded vision systems, and machine learning methods for industrial high-performance visual quality
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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environments (specifically Visual SLAM) and place recognition methods, e.g., using foundation models and vision-language models Selection and evaluation of suitable algorithms based on robustness, latency, and
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