22 analog-integrated-circuit Postdoctoral positions at Technical University of Munich
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., for quantum computing, microfluidics, or conventional circuits and systems. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world
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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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the world. The Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial
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position a sensor in nanometer-scale proximity to samples. You will use this platform to reveal patterns of current in integrated circuits, to map patterns of light at the nanoscale, or to assemble nano
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nanoparticle formulations, surface modification of nanoparticles, testing wireless power transfer, and/or integration of nanoparticles into chip-scale bioelectronic devices. You are encouraged to bring
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harms, but also how these harms should be redressed through multi-sited ethnographic fieldwork. This fieldwork will be integrated with participatory design workshops to develop specific interventions
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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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–biodiversity relationships are linked to acoustic comfort–restoration outcomes. The models will integrate spatially-explicit structural complexity variables, landscape imperviousness variables, biodiversity