35 algorithm-development-"Prof"-"Washington-University-in-St" "Prof" Postdoctoral positions at Leibniz
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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The culturally diverse Research Group “Plant Architecture” is primarily interested in basic research questions concerning how cereal inflorescences, called spikes, develop and how this contributes
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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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to conduct independent research at an early stage. The junior research group should focus on research and development of digital teaching scenarios (e.g. using AR, VR, AI, online videos, adaptive tools
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this role, please contact Prof. Dr. Anton Potapov at anton.potapov@senckenberg.de . Would you like to contribute to advancing our understanding of soil ecosystems? We warmly invite you to apply! For data
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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. Are you interested in applying your machine learning and deep-learning expertise to develop cutting-edge ecological and environmental research? The Senckenberg Gesellschaft für Naturforschung invites you to
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near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
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. Why FIZ Karlsruhe: Promoting the scientific development of young researchers is an important goal of FIZ Karlsruhe. Candidates for habilitation will be supervised by Prof. Dr. Harald Sack (FIZ Karlsruhe
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at local, regional, national and European scales across the terrestrial, freshwater and marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models