28 universal-design "https:" "https:" "https:" "https:" "https:" PhD positions at University of Vienna
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Faculty of Chemistry at the University of Vienna invites applications for a Tenure-Track Professorship in AI-Driven Chemical Reactivity and Molecular Design The position We seek an outstanding candidate
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across Europe. The tenure-track position is embedded in an active and stimulating research environment at the University of Vienna. Located in the Department of Functional and Evolutionary Ecology ( https
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approach. This includes qualitative and design-based approaches, such as interviews and participatory design, as well as experiments and system building. Where relevant, we draw on theory from fields
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Forschungsgruppe unter: https://martinpawelczyk.github.io/ Ihre Aufgaben und Verantwortlichkeiten Entwicklung von Methoden und Werkzeugen des maschinellen Lernens mit besonderem Fokus auf: Data-Centric AI
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AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI: Including
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interface between quantum and classical physics as well as between quantum and bio-molecular science. We develop universal matter-wave interferometry in the limit of high mass and high complexity, from
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sources of greenhouse gases, radionuclides, or air pollutants. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/ . To learn more about FLEXPART, visit https
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climate at kilometer-scale resolution. We highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at
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interface between quantum and classical physics as well as between quantum and bio-molecular science. We develop universal matter-wave interferometry in the limit of high mass and high complexity, from
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. For further details about the positions and our research group, please visit our project website https://ef-geometry.univie.ac.at/ . Deadline: Jul 26, 2026 (Add to Calendar) This employer is not