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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TwinCloud, we are looking for a Student
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TwinCloud, we are looking for a Student
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performance (please attach transcripts) Interest in cryptography and/or machine learning Independent and collaborative work capabilities English communication capabilities (German language is not a requirement
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Experience in acquiring and managing industrial and/or grant-funded projects An active network in research and/or industry The interest to build a team and acquire research with industry Leadership an social
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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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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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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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The opportunity to make significant research contributions to current topics in Scientific Machine Learning A highly motivated, international team and excellent hardware and computing infrastructure Collaboration
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adapters should be created and tested for previously selected detection methods, which can reliably bypass these detection methods. Be part of change Researching and implementing novel machine learning
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packages for machine learning. You are not afraid of learning new technologies and frameworks and enjoy developing prototypes. You are independent, creative and curious and you can work independently. What