59 algorithm-development-"University-of-Surrey" PhD positions at Technical University of Munich in Germany
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and international research group Extensive opportunities for professional development as well as the possibility to pursue a doctoral degree Embedded into a newly established, interdisciplinary research
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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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The main task is the further development of methods for the non-destructive investigation of the pyramids of Giza in Egypt (World Cultural Heritage) in cooperation with our partners by using acoustic imaging
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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
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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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significantly impact next-generation experiments at large facilities. Tasks: This project will develop innovative ultracold neutron detectors, using superconducting microstructures for spin- and energy
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to advanced training opportunities for professional development About our group: Prof. Dr. Ziyue Li holds the Professorship in Transportation Analytics in the Department of Operations & Technology and Heilbronn
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to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer