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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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. • 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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experimental optics. A basic understanding of electrochemistry, as well as solid state physics and light matter interaction would be highly beneficial. Additionally, applicants should have experimental
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) Application Deadline 1 Feb 2026 - 22:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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scientific qualifications. Requirements: University degree (master's, diploma) and doctorate in theoretical physics. Desirable: Excellent research results in theoretical solid state physics. Applications
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Master Positions Application Deadline 15 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Apr 2026 Is the job funded
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qualification and skills: PhD university degree in microbiology, ecology, or a related discipline Strong experimental background in microbiology and molecular biology Solid understanding of microbial ecology
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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Deadline 25 Feb 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 22 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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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