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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience with large-scale
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Academic staff The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty of future
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and further information Applications should be sent as a single pdf file to toek@ls.tum.de (preferred), or via postal mail to Prof. Wolfgang W. Weisser, Technische Universität München, Lehrstuhl für
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equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information
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should be tested against data from the present and past, going back to 6000 years before today, and they should be enhanced to predict indicators of Nature’s Contributions to People (NCPs). Together
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educational data science and machine learning in education are to be filled as soon as possible. The positions are funded through a Momentum grant of the VolkswagenStiftung and are embedded in the research
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8 Apr 2026 Job Information Organisation/Company Leipzig University Department Faculty of Physics and Earth Sciences Research Field Computer science » Other Geosciences » Other Researcher Profile
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-of-the-art molecular and computational tools. The project seeks to accelerate global biodiversity discovery by making museum collections more accessible through open data and to advance our understanding
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organize simulation protocol, organize model input-output and evaluation data of the improved LPJmL Dynamic Global Vegetation Model with the goal to analyse simulated fire effects on tundra vegetation and