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to real-time data acquisition during production, consulting, and prototype manufacturing. The employees conduct research in many innovative topics, such as artificial intelligence, data-based quality
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. computational simulation of material processing and structure-properties relationships to accelerate the development of new materials presentation of scientific results at international conferences and in
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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Your Job: Join our team to manage computing time resources and projects. Your tasks include: Coordination of calls for allocation processes and computing time budgets with our European partners
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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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and other stakeholders. One focus is on multimodal, intelligently networked sensor environments in different settings and the development of interactive technologies. There is a need for research in
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, check your computer’s network connection. If your computer or network is protected by a firewall or proxy, make sure that Firefox is permitted to access the web. You can continue with your default DNS
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for real-time operation of AO systems Support experimental efforts by processing and analyzing image- and communications data streams Incorporate artificial intelligence framework into our AO systems and
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and Design. An affiliation to the Munich Institute of Robotics and Machine Intelligence as well as to the TUM School of Medicine and Health is intended. Responsibilities The responsibilities include
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial