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on how human land-use affects biodiversity, in grasslands, forests, and increasingly in urban ecosystems. To strengthen our team, we are looking for a Senior Postdoc starting 01.08.2026 (m/f/d) - (TV-L E13
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E 13. About the project: The MountAInWater project aims to produce a global mountain reanalysis product combining information from observation sites and high-resolution land surface models based
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. • documentation of all relevant aspects of the survey in a database. • analysis of the arthropod datasets1, focusing in particular on the interactive effects between climate and land use, in collaboration with
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. The cluster, launched on January 1, 2026, is funded by the DFG as part of the Excellence Strategy of the German federal and state governments, with TUM serving as the managing university. We are looking for a
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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" perspective on organizational challenges. Why Apply? ● Global Impact: Work directly with WWF, a unique global organization, to influence how conservation happens on the ground. ● Academic Rigor: Conduct
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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of living systems, hence, catalyzing breakthroughs in biology, medicine, and the environment. Comprising 12 inter-disciplinary laboratories and scientists from more than 25 countries, IBMI offers state
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. The postdoc position (m/f/x) is limited to 24 months but can be extended for another 24 months (extension is subject to a positive performance evaluation). About us… Founded in 2002, TUM School of Management is
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top grades and, where applicable, peer-reviewed publications. • Strong motivation, intellectual curiosity, and the ability to work independently and collaboratively. • Solid English communication skills