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The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
for Functional Marine Biodiversity (HIFMB). You will combine state-of-the-art OMICS approaches, cell biology, and advanced imaging to dissect the cellular signaling and regulatory networks that control
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network and the UPWELLING Academy. This academy will offer specialized training in emerging marine technologies and facilitate prototyping activities, empowering SMEs and startups while nurturing a new
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our external partners, and act as an ambassador towards the mass spectrometry community on our behalf. Join an expert team performing cutting-edge research, ranging from technological development and
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to advance beyond classical segmentation networks toward multimodal, prompt-based, and foundation-model approaches for clinically deployable medical AI. Your Responsibilities Develop and evaluate novel
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approaches. Design and execute experiments, analyze data, and communicate findings at internal and external meetings and conferences. Publish research findings in high-impact, peer-reviewed scientific journals
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with the nation-wide research priority area “LaSTing : Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology,” which is funded by
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. Understanding of high-order methods for fluid flows. Understanding of turbulence, boundary layer flows, multi-phase flows, chemical kinetics, combustion, and detonations. Experience in mesh generation with
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at Fortune 500 companies. Our faculty have distinguished themselves on a global stage. We are fulfilling our mission to educate talented engineers who will immediately make an impact on their communities
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We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly