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responsible 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
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Computing. Example topics for the group include how people understand and respond to technological harm, and how organizations can build responsible AI into the innovation process. We use a mixed-methods
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Factory Austria (AI:AT) ist ein gemeinsames Projekt des AIT und der Advanced Computing Austria. Sie vereint Spitzenkompetenz in High-Performance Computing, Künstlicher Intelligenz und
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dynamic research environment with access to state-of-the-art computational infrastructure, including high-performance computing clusters for molecular simulations and data-driven modeling. Additional
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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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within the research group Cooperative Systems at the University of Vienna working across Human-Computer Interaction (HCI), Responsible AI, and Social Computing. Example topics for the group include
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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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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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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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10.12.2026. Further information and the application form can be found on our website: https://ignidte.i-med.ac.at/