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on pay scale group 13 of the collective agreement for the public service of the German states (TV-L). Your role While much current AI research focuses on large generative models, our group aims to explore
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methodologies. The focus is on across-organ imaging, ranging from non-human primate (NHP) models to human applications. You will contribute to the development and application of state-of-the-art MRI techniques
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
what are the implications for gender and social inequalities, and for governing society? To address these questions, the project would also develop methods to combine data donation within solid
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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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. 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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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