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international research setting of the new Center for Forest Management in the Alps (Profs. Menzel, Knoke, Peters, Seidl, Senf) Extensive opportunities for professional development Interact with a wide network of
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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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for the built environment will be developed in collaboration with teams led by Prof. Dr.-Ing. Matthias Niessner (Chair of Visual Computing and Artificial Intelligence, School of Computation, Information and
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of health, the future of work, and the future of mobility. More than 50 professors from various TUM faculties cooperate within the framework of MSRM. The research focus of RSI is the development of control
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analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim at supporting computational thinking and computational problem-solving in the Earth
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background or similar. You will work together with the RAISE AGRICULTURE and TUM Precision Agriculture Lab to develop an agricultural drone servicing system. You will be awarded the EXIST Start-up Grant
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competitive, scientific environment? If you are motivated by the societal impact of science and technology, if you seek an opportunity to play an active role in the development of emerging technologies
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training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
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of the top universities in Europe. It is distinguished by excellence in research and teaching, interdisciplinarity, and talent development. Additionally, it maintains strong alliances with companies and
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for upscaling ecosystem properties (e.g., productivity, phenology) Contribute to the development of an Alpine remote sensing monitoring system Interactive collaboration and exchange within the TUM Center