85 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at University of Vienna
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to join our team! Your professional field of activity: As a University Assistant (40 hours/week), you will join the research team led by Univ.-Prof. Dr. Radu Ioan Bot. The main research areas of the working
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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University Assistant Praedoc to join the dynamic research team led by Univ. Prof. Sara Merino Aceituno, PhD. The research areas developed by the team are in particular related to kinetic theory applied
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for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
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activities of the ZTW under the supervision of the HAITrans research group leader Univ.-Prof. Dragoș Ciobanu, PhD. Your personal sphere of play: Your future position is within the HAITrans research group
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of the Department of Liturgical Studies and Sacramental Theology of the Institute of Historical Theology at the Faculty of Catholic Theology of the University of Vienna (Head of Department: Univ.-Prof. Dr. Hans
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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF
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professorship will be affiliated with the Faculty of Physics at the University of Vienna and integrated into the Gravitational Physics group (https://gravity.univie.ac.at/ ), an active research unit engaged in
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University of Economics and Business, and with the BOKU University. https://ie.univie.ac.at/en/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after
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areas of demography from an international perspective and demonstrate excellence in formal demography and demographic methods. The Department of Demography (https://demografie.univie.ac.at