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Field
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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! What
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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on multi-view sensor perspectives of the “First Mile” test field validation of the developed algorithms and execution of tests on the test bed “Erste Meile” What you bring to the table student in Computer or
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to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology, the Deutsche Telekom Chair of Communication Networks offers a position under
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Engine. You will gain insights into application-oriented research and have the opportunity to actively shape industrial applications. What you bring to the table Studies in computer science, media
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Bachelor-/ Master Thesis: » Modelling of Heating Processes for Recyclable Monomaterial Sandwich Pane
to the table You are studying mechanical engineering, computer science, CES or a comparable subject Knowledge and experience in control engineering is advantageous Initial Experience in CAD-design and design of
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental parameter measures and DNA data. Your Tasks Participation in fieldwork in Germany
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, engineering (micro/ nanotechnology), chemistry or an equivalent degree program. You already have basic knowledge of analytical characterization methods. You have an independent and autonomous way of working