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therefore takes individual situations into account and asks for relevant information. The University of Tübingen seeks to raise the number of women in research and teaching and therefore urges suitable
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
covers nearly 10% of the world’s total ocean space. It is a habitat for over 10,000 known marine species. Politically, it is special in that the majority of the space represents Areas Beyond National
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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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Work group: Gerics - Climate Service Center Area of research: Scientific / postdoctoral posts Starting date: 16.06.2025 Job description: PostDoc Position - Resilience enhancement through NBS
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physics experiments (example here ) AI-driven discovery of hardware for some of the most thought after quantum information technology, quantum-enhanced microscopes and telescopes (example here ), and AI
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within a larger interdisciplinary Collaborative Research Center. We offer the opportunity to acquire cutting-edge research methods, combining experimental studies on language use and interpretation with
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to equal opportunities and diversity. It therefore takes individual life situations into account and asks for relevant information. The University seeks to raise the number of women in research and teaching
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage