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Prompting Strategies and Eco-Feedback for Efficient Use of Large Language Models A summary of the planned project is available at https://computational-sustainability.at/HAI4S/ . The dissertation will be co
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Willingness to participate in ongoing research projects of the Division of Prehistory and Early History Practical experience in geoarchaeological laboratory work Excellent computer skills (GIS, databases
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the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally, the position will
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Language Processing and Machine Learning, in close coordination with the AI & Cloud Manager Collaboration on organizational and administrative tasks as well as evaluation measures, particularly those derived from
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interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You
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the opportunity to also contribute to our well-established collaboration with the Faculty of Electrical Engineering and Information Technology. Applications such as Machine Learning are driving up computational
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to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for
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working in a team and communicating Very good computer skills Good English skills (B2) and good German skills (level B1 or willingness to learn German) What We Offer: On the basis of full-time employment
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(prae doc) and will be working in the research group “Data Mining and Machine Learning” at the Faculty of Computer Science. This job advertisement is a completion contract. Your personal sphere
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(prae doc) and will be working in the research group “Data Mining and Machine Learning” at the Faculty of Computer Science. This job advertisement is a completion contract. Your personal sphere