38 algorithm-development-"Multiple"-"Simons-Foundation" "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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and actual work settings. Tasks include: Developing research paradigms Programming experiments and analyzing data Presenting results at conferences and writing research articles Supervising research
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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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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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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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scales. The scientific evidence-based knowledge developed in ISOLUME will be used to develop a roadmap for implementing changing marine lightscapes as an indicator in management policies, monitoring
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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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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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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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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