16 analog-and-integrated-circuits Postdoctoral research jobs at Technical University of Munich in Germany
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tissue injury & healing. This project will investigate mitochondrial dysfunction in intestinal inflammation (inflammatory bowel diseases, IBD) and the integration of bacterial signals at the intestinal
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for machine intelligence, which is the integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the
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integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. 70
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imaging in musculoskeletal medicine. Responsibilities Develop and apply advanced AI methods for multimodal and 3D medical image analysis (Xray, MRI, CT). Integrate robotic data, biomechanical measurements
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Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence and perception. Its three central
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modeling. Our research contributes to robust management concepts for the sustainable provisioning of diverse ecosystem services, and for maintaining the integrity and diversity of ecosystems in a changing
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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–biodiversity relationships are linked to acoustic comfort–restoration outcomes. The models will integrate spatially-explicit structural complexity variables, landscape imperviousness variables, biodiversity
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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are looking for a Post-Doc (TVL E13) to join our team. Medical images provide wide opportunities for studying diseases. Yet, images alone are often not sufficient but the integration of adjunct data sources is