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and transcripts of records, 4. summary of the master thesis 5. contact information for two letters of recommendation, 6. list of publications with link for downloading (Do not include your publications
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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding
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full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About us The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information
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civil society organisations (CSO). This allows a wide range of expertise in different theoretical and practical fields to be incorporated into our graduate school and further to establish a link between
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empirical field of investigation. Therefore, it links hithero disparate theoretical perspectives and empirical methods, including ethnography, comparative content analysis and bibliometrics. The project is a
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society and sets new standards for the qualification of young academics. Digital platform ecosystems form the foundation for fundamentally novel data and knowledge-intensive business models, requiring