60 structural-engineering-"https:"-"https:"-"https:"-"https:"-"LGEF" uni jobs at University of Vienna in Austria
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research and teaching. We are currently seeking a/an University Assistant Predoc at the Department of Science and Technology Studies 49 Faculty of Social Sciences Job vacancy starting: 01.09.2026 | Working
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, and power, but also other topics in philosophy of technology are welcome. Further information can be found here: https://philtech.univie.ac.at/ https://coeckelbergh.net/ Your duties will include active
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of quantitative biomolecular databases and metadata Implementation of data management plans and FAIR data principles Development and maintenance of standardized data structures for raw MS data, metadata, processed
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closely with Thorsten Grohsjean, who joined the University of Vienna as a Professor of Organization in January 2026, after more than 9 years in the Department of Management & Technology at Bocconi
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, power structures and their interplay at both global and local levels. At the Department of Development Studies, you will join a team of dedicated researchers, work on exciting research projects, and
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and its application to powder diffractometry, X-ray phase analysis, and X-ray structure determination, with an extent of teaching as required by the universities' collective bargaining agreement
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effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and
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university processes and structures Didactic skills Basic knowledge of qualitative methods. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely
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Knowledge of Hegel’s philosophy and historical-theological issues, teaching experience, familiarity with university procedures and structures, and initial experience in academic work are an advantage
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topics in theoretical chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning