11 machine-learning "https:" "https:" "https:" "https:" positions at UNIVERSITY OF VIENNA
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
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data science techniques. The Tenure Track professorship will be affiliated with the Faculty of Mathematics under the Key Research Area “Computational Mathematics and Data Science” (https
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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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 actively participate
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, machine learning, or (astro-)physics (in particular cosmology, galaxy formation, or general relativity) will be an advantage. What we offer: Inspiring working atmosphere: You will have the opportunity
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expertise in fields that are of great important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and
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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 actively participate in research, teaching and
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business
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The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business