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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. The Applied Machine Learning (AML) group is part of the Department for Artificial
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to their spin properties. As part of this position, experiments will be conducted to chracterize NV centers in diamond. The goal is to determine the lifetimes of spin states at room temperature
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engineering and semiconductor physics, three exciting and dynamic areas of applied research. Be a part of our team and come on a journey of research and innovation! What you will do Design of modulator chips
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be able to create and manage an internationally competitive working group. The establishment of innovative concepts to connect fundamental research and clinical research is an important part of
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evaluation. The successful candidate will be expected to take part in teaching the Institute’s Bachelors and Masters programs. The position has a teaching load of four hours per week prior to interim
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in the field of new materials, new processes and optimised components. Our work is interdisciplinary, international and practical. The scientific questions in our institute range from the production
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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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Cognition Group was established as part of the Collaborative Research Center 1528 Cognition of Interaction and is run by Neda Shahidi. In a new, DFG-funded three-year project (pending final approval), we seek
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components of our culture. Theory meets practice: The opportunity to combine your knowledge from your studies with practical experience at the interface between business and science. Flex work: Your studies
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and management of factory operations. In the Manufacturing Technologies department, which is part of the Production Systems division, we work on the development, provision and adaptation of production