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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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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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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
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research (http://www.wzb.eu/en ). WZB researchers come from across the globe and work across social science disciplines including sociology, political science, economics, law, and psychology. A member of
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 1 day ago
with various backgrounds (natural sciences and humanities) whose aim is to investigate the history of humankind from an interdisciplinary perspective with the help of comparative analyses of genes
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). The institute also maintains locations in Dedelow and Paulinenaue. The in-house project CRoP-SMART (Comprehensive Research on Crop Performance: Statistical Methods for Agricultural Research and Technology) will
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24.05.2024, Wissenschaftliches Personal The chair of Engineering Resilient Cognitive Systems of the School of Computation, Information and Technology of the Technical University of Munich in
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 2 days ago
with various backgrounds (natural sciences and humanities) whose aim is to investigate the history of humankind from an interdisciplinary perspective with the help of comparative analyses of genes