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The Fraunhofer Institute for Toxicology and Experimental Medicine ITEM is one of 76 institutes of the Fraunhofer-Gesellschaft, Europe’s largest organization for application-oriented research
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our group "Computer Vision and Machine Learning" in developing AI models and transferring them into production. In the master's thesis "Exploring latent spaces of deep networks for fault analysis in
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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! Be
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guidelines for internship remuneration. The duration of the thesis depends on the requirements of your university. The Fraunhofer-Gesellschaft attaches great importance to the professional equality of women
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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for the employment of auxiliary staff. The position is initially limited to one year. The monthly working hours are 40 hours. The Fraunhofer-Gesellschaft attaches great importance to the professional equality of women
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remuneration. The duration of the thesis depends on the requirements of your university. The Fraunhofer-Gesellschaft attaches great importance to the professional equality of women and men. We value and promote
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, computer vision and image processing Responsible independent worker Proficient English skills The working time consists of 10-20 hours per week. The position is initially limited to three months
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, independent working style Experience in Computer Vision Experience in CAD (structural definition of models, and CAD modeling) is advantageous Experience with 3D modeling frameworks such as the 3D ACIS Modeler
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and linear algebra Proficient English skills Precise, responsible, independent working style Experience in Computer Vision Experience with the frameworks OpenCV and Eigen is advantageous The weekly