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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based
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. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T
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to control of infection. The focus of the project is on virus-specific CD8 T cells and the local hepatic regulation of their effector functions through environmental and cytokine-induced signals. The AG
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
networks with a focus on human-machine collaboration. The merger of the two universities of excellence combines their world-leading preliminary work in the field of Tactile Internet. 6G-life will provide new
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(ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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ecologist (m/f/d) with a background in community ecology, macroecology, metacommunities, and/or analysis of ecological time series. The applicant should have a strong track record of scientific publications