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Field
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, GPS traces, maintenance information and crowd-sourced data need to be combined. Learning personal mobility patterns, e.g., using space-time clustering techniques. Identify patterns based on observed
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patterns, e.g., using space-time clustering techniques. Identify patterns based on observed travel behavior, and relate patterns to real-time and predicted travel conditions to recognize and predict events
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a dedicated doctoral training unit (DTU) on “Forest function under stress” (FORFUS). It consists of 4 inter-linked research clusters, focusing on below-ground processes, tree and canopy processes
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Research, has formed a dedicated doctoral training unit (DTU) on “Forest function under stress” (FORFUS). It consists of 4 inter-linked research clusters, focusing on below-ground processes, tree and canopy
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a dedicated doctoral training unit (DTU) on “Forest function under stress” (FORFUS). It consists of 4 inter-linked research clusters, focusing on below-ground processes, tree and canopy processes
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training the next generation top scientists, innovators and entrepreneurs. Research at MSN is organized in different research clusters including Energy Transition, Surface Technology and Metallurgy, Polymers
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the Erasmus Research Institute for Media, Culture, History and Society (ERMeCHS), the Department of Media and Communication, and ERMeCHS’s established research clusters such as Popular Culture and Inequality
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Research Back Profile Areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster
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University, University of Groningen, and Utrecht University of Applied Sciences, supervisors from the Construction Management and Engineering cluster at the University of Twente, and a strong network of
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the EU-funded consortia FOODGUARD (www.foodguard-project.eu/ ) and NUTRIMMUNE, the Cluster of Excellence “Balance of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi