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for our clients from numerous industries. The overarching topics at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies, and sustainability. In addition, next-generation
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clients from numerous industries and the public sector. The overarching topics at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies, and sustainability. In addition, next
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of machine learning approaches. Defining standards and databases for experimental protocols and biosystem designs will be of critical importance for the establishment of the Munich Repository of Standardized
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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into machines that enable the intricate genomic immune system that is described briefly above. At the same time, by understanding how ‘basic’ machinery can be re-purposed we also learn new things about that
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environmentally friendly chemistry, in applications for the aerospace and military sectors as well as in life-cycle assessments, recycling and sustainability concepts – which you could soon help to create
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topics at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies, and sustainability. In addition, next-generation computing and quantum computing are future-oriented topics
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at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies and sustainability. In addition, next-generation computing and quantum computing are future-oriented issues that our
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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
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Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute of Reliable Embedded Systems