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is a world leader in research into mobile and optical communication networks and systems as well as the coding of video signals and data processing. The Department of Wireless Communications and
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physics Willingness to discuss scientific results regardless of success or failure, as well as the desire to learn new skills Fluency in written and spoken English Our offer A vibrant research community 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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Association with an international reputation and globally networked research infrastructure. It is active in three closely interlinked fields: collection-based research, collection development and cataloguing
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into existing grid infrastructures. Additionally, we create dynamic models of networks and units, engage in simulation and stability analysis, and perform Dynamic Security Assessment (DSA). We also innovate
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systems, and other available data. Social processes are recorded through panel studies, regional surveys, social network data, and qualitative interviews, among other methods. The integrated long-term
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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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plus Excellent organizational skills Ability to show initiative and work independently Strong communication, collaboration, and teamwork skills Very good knowledge of German and/or English, both written
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Since 2020, Fraunhofer Heinrich Hertz Institute has worked with United Nations
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immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop innovative and efficient cellular immune therapeutics in these areas. Our own GMP laboratories and close networking