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of Statistics and Operations Research( https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting at the earliest possible
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learning, probabilistic decision making) For your application, please submit: a brief motivation letter (max 1 page) your CV (including a list of publications, if available) transcript of records PhD
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Description Your Responsibilities We are looking for a highly motivated PhD student in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI
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/ ) at the Department of Statistics and Operations Research (https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting
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-investigator to the BEETHOVEN project. Participation and Completion of PhD courses according to the curriculum Applied Evidence Synthesis in Health Research Educational Contributions: Teach courses in clinical
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contact: Mag. Martina Hofpointner, E-mail: martina.hofpointner@kepleruniklinikum.at . Exertion place address Krankenhausstraße 5, 4020 Linz Where to apply Website http://www.jku.at/career Requirements
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Code8010StreetLeonhardstrasse 15Geofield Contact State/Province Styria City 8010 Graz Website http://www.kug.ac.at Street Leonhardstraße 15 Postal Code 8010 E-Mail bewerbung-uprof@kug.ac.at Phone 03163890-1360 STATUS: EXPIRED X
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Austrian Academy of Sciences, the Institute for the Cultural and Intellectual History of Asia (IKGA) | Austria | 5 days ago
anthropology Cultural studies » Asian studies Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 May 2026 - 23:55 (Europe/Brussels) Country Austria Type of Contract
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Code1040StreetGußhausstraße 27-29Geofield Contact City Vienna Website https://www.acin.tuwien.ac.at/ Street Gußhausstraße 27-29 Postal Code 1040 E-Mail steinboeck@acin.tuwien.ac.at STATUS: EXPIRED X (formerly Twitter) Facebook
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Further training in mathematics education as a teaching subject Your profile: Completed relevant doctoral or PhD programme (mathematics or mathematics education) Completed teacher training programme in