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24 Aug 2026 Job Information Organisation/Company Johannes Kepler University Department Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Where to apply Website https
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our areas of academic research here: https://lit-ktf.univie.ac.at Your future tasks: You will actively participate in research, teaching, and administration, which means: Preparing a dissertation in our
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Excellent programming skills Extensive knowledge of IT
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Admission Requirements Completed Master's degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management
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the structure and chemical composition of the disk probed with ALMA and JWST, the impact of dust evolution, external irradiation and disk winds on element abundances, chemistry and observation, and the prediction
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systems based on superconducting microwave circuits and cryogenic noble-gas crystals. By understanding and controlling microscopic loss mechanisms at the interface between superconductors and cryogenic
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, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics offers excellent conditions for doctoral training at the highest level in all areas
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, materials science, and astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School