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of Business, Economics and Statistics. We are a highly international and research-oriented Department. More than 30 full-time junior and senior professors together with numerous PhD students form
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social research methods High level of written and verbal communication skills Very good command of written and spoken German Very good command of written and spoken English Very good computer literacy
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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exceptional precision. The candidate's project will focus on analytical metabolomics for (sub)cellular analysis. The method-oriented research plan supports cutting-edge biotechnology on synthetic organelles
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neurobiological bases, studying how the brain maintains or changes functionality over time, and probing its evolutionary origins and development. Our PhD program is tailored to individual career tracks and includes
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. This is part of your personality: You have experience with exact and (meta-)heuristic solution methods in the field of Operations Research. You have a Master’s degree in industrial engineering, information
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programme of the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo) and to sign a doctoral thesis agreement within 12-18 months after being employed. The position is
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areas, a variety of ethnographic methods, a large number of outstanding research projects and appreciative collegial exchange. The employment duration is 17 months. An extension is not possible. This is a
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within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal). You will take on administrative tasks, particularly in the administration of teaching. We expect you to keep
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the heart of Vienna at the Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna. Besides scientific activities in developing new and improved computational and measuring methods