111 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" positions at Leibniz in Germany
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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to funding by BfN, in the project KOFI („Study on the development of carbon storage and biodiversity after exclusion of fisheries in the Natura 2000 area Fehmarnbelt“). The fixed-term position will
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young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and skills
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young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and skills
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Association with an international reputation and globally networked research infrastructure. It is active in three closely interlinked fields: collection-based research, collection development and cataloguing
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able to work autonomously and in a team. We offer you: A working environment with a wide range of personal and professional development opportunities. The opportunity to work in a world-class research
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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institute within the Leibniz Association that actively promotes diversity, personal development, and the compatibility of work and family life. Our research focuses on coastal and marginal seas, with a
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM Research Department Energy