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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 date, and no
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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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relevant field Excellent command of written and spoken English (C1 level or higher) Basic experience in academic writing Successful completion of the VBC PhD programme selection What we offer: Employment
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to EUR 3.776,10 (full-time basis); In the case of a normal weekly working time of less than 40 hours the salary shall be prorated.) and will be enrolled in the department's PhD program in Management
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%, University Assistant) is available form September 8th, 2026 for 3 years. Your personal sphere of influence: The position offers first-hand experience in academia culminating in a PhD diploma. The subject of
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presentations, and the drafting of the dissertation. The program's primary goal is to prepare candidates for a career in international academe. For further information about the PhD program, please visit https
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(PhD Certificate, PDF) positions held to date career breaks (e.g. relevant parental, family or other care periods) awards and honors commissions of trust previous and current cooperation partners
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no.: 5451 The position We are seeking an outstanding researcher who advances the fundamental understanding of gravity through analytically rigorous, conceptually driven, or high-precision computational
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%, University Assistant) is available form March 6th, 2026 for 3 years. Your personal sphere of influence: The position offers first-hand experience in academia culminating in a PhD diploma. The subject of the
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experimental and theoretical collaborations. Your personal sphere of play: The position is at the Institute of Theoretical Chemistry at the Faculty of Chemistry. You will develop excited-state dynamics methods