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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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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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-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we focus on a
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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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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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, as well as a strong network within the international scientific community. The success of the candidate’s research should also be reflected in peer-reviewed third-party funding. The OeAW is seeking
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education facility. We offer innovative national and international state-of-the-art research projects, interdisciplinary collaborations and a large network of research partners around the world. We also offer
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digital best practice in close cooperation with the Austrian and European Digital Humanities Community. They will be connected to well established fields in the faculty, develop new digital tools to analyze
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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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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