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their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are offering PhD Positions in
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Job vacancy starting: 01.05.2026 | Working hours
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are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly
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are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly
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(praedoc) in this four-year position, you will be part of the Operational Quantum Information Team led by Professor Borivoje Dakić. Our team is part of the Quantum Optics, Quantum Nanophysics, and Quantum
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are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student, PhD candidate to Postdoc are working together on mostly experimental
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Completion Contracts for fellows of the Doctoral School who have held a position as University Assistant (praedoc) or as PhD project staff at the University of Vienna before. These Completion Contracts aim
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experiments. Your personal sphere of influence: As a university assistant (praedoc) on this 4 year position, you will be part of the Aspelmeyer group, and you will be exploring fundamentals and applications
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, disaster attribution, preparedness behavior, and support for management policies. These tasks will use a) a secondary data set as well as b) design a large, representative, multi-country survey unpacking
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assistant (pre-doc) you will join Prof. Paola Ayala's research group. Within this 4-year position, you will be immersed in cutting-edge materials science research. This position offers you a unique platform