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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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array of disciplines ranging from archaeology to other natural sciences, life sciences, and humanities, creating a unique bridge between different scientific cultures. The ROOTS experts are organized
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basic research with science transfer to the public, the media and policymakers. Since 2009, the PRIF has been a member of the Leibniz Association, a national umbrella organization of outstanding non
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) is available within the research group FOR 5456 of the German Science Foundation (DFG). The overarching goal is the first implementation of satellite-based relativistic geodesy using optical atomic
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These are positions for Doctoral Students, based in Tübingen in an interdisciplinary research group working at the interface of Machine Learning, Medicine, and Biology. Doctoral Students will engage
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at national and international conferences.A very good university degree in a relevant field (i.e., biology, environmental sciences, or geosciences) and knowledge of plant ecology are required. In-depth
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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varieties arising from zero-mutable Laurent polynomials. Prior experience in any of these areas as well as an interest in combinatorial and computational methods is welcome, but not required. What we offer
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Description The Chair Group of Production and Resource Economics at the TUM School of Management and the TUM School of Life Sciences offers a position as Ph.D. Student / Junior Researcher (m/f/d
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta