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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking a science manager for its new center for Machine Learning in Earth Observation (ML4Earth). AI methods
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of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential for modern technologies, including
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system behaviors, thereby enabling the sound transfer of safety properties from models to real-world systems. The research combines methodological innovation with real-world impact and includes topics
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Science, Bioinformatics, Informatics or a related discipline. Available 10/26-09/30 The graduate college “The Proteome that Feed the World”: Plants are the nutritional basis of life on earth and protein
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using the model iLand. The work is embedded in the BETA-FOR project (https://www.uni-wuerzburg.de/for5375/) and will collaborate closely with the Forest Economics and Sustainable Land-use Planning group
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present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Master’s degree in physics, computer science, Earth system sciences
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– to pursue a doctoral degree. In addition to research, the associate will also take on teaching responsibilities. About us The Technical University of Munich (TUM) is one of the top world universities. It is
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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. - Design and execute comprehensive testing phases for the microgrid, utilizing both synthetic load profiles and real-world operational scenarios. - Conduct in-depth Life Cycle Assessments (LCA) for a novel
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talent development. The Terrestrial Ecology Research Group is part of the Department of Life Science Systems in the TUM School of Life Sciences and is based in Freising, Germany. We do fundamental research