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posts Starting date: 24.05.2024 Job description:2 Postdocs in Deep Learning for Earth System Science - Reference code: 50117505_2 ? 2024/KS 2 Commencement date: as soon as possible Work location
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for science, with scalable modern methods, interdisciplinary expertise and industrial-scale computation. A solid background in deep learning is required, including some published work. Expertise in Earth system
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) Teaming up Aquatic, Ground, and Aerial Robotic Systems for Data-Driven Environmental Surveying You want to develop robotic systems that not just work in the lab but are also released to the wild? You are
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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results in conferences and scientific journals Your qualifications and skills: You have a PhD in plant biology, agricultural science or any related fields You have experience in microscopy, cell biology and
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21.06.2024, Wissenschaftliches Personal We are searching for two motivated researchers (postdocs) with a mathematics or informatics background. You will be working in the group of Prof. Felix
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understanding of the partitioning of incoming precipitation in tropical systems affected by land cover change. The successful candidate will investigate temporal dynamics and spatial variability in ecosystem
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Responsibilities: The Chair of Spacecraft Systems of the Technical University of Munich is working in the field of space systems engineering, spacecraft design and AI applications for space. Having launched its
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Collaborative Research Centre TRR 181 "Energy Transfers in Atmosphere and Ocean" | Kiel, Schleswig Holstein | Germany | 5 days ago
of Technology, Catholic University of Eichstätt-Ingolstadt, GEOMAR Helmholtz Centre for Ocean Research Kiel and Deutscher Wetterdienst. Physical oceanographers, meteorologists and applied mathematicians
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computational stream ecosystem science. The project aims at developing and applying a spatially explicit model on litter dynamics considering the processes of litter supply, retention and decomposition in tandem