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, interdisciplinary teams, value diversity of thought, and enjoy the freedom to explore novel ideas. You communicate fluently in English, both orally and in writing. We Offer: Access to an international network
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oral and written English skills We offer international working environment with communication in English and German interesting career opportunities and a range of opportunities for further qualification
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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intellectually owned research directions and pursue visibility through funding applications We offer international working environment with communication in English and German interesting career opportunities and
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Job Advertisement Leibniz-HKI-36/2025 In a joint, multi-disciplinary approach, the Friedrich Schiller University of Jena together with the Leibniz Institute for Natural Product Research and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
to transition from frozen bed in the upper, high-elevation accumulation zone of the catchment, to temperate-bedded in the tongue area. In the first two field seasons (2024 & 2025) we conducted an extensive
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infrastruture and Core Facilities Recreation: 30 days annual leave, flexi days, plus public holidays International Staff Service: Support with the relocation and integration process in Germany Health Promotion
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language