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for tomorrow's industry. Integrated into the Chair of Brewing and Beverage Technology is the working group BioPAT and Digitalization, which deals with issues from the fields of PAT technologies, bioprocess
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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interfaces (application programming interface, API) for system control are being developed in order to automate both process monitoring and process control. The API-based integration of the digital twin
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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
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integration of vehicles into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex
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Immunology of the Leibniz-HKI in Jena. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative
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institutions across the world. The TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for machine intelligence, which is the integration
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habits and duration of grazing under contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding