164 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" positions at UNIVERSITY OF VIENNA
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personal sphere of influence: As a Data Steward at the Faculty of Business, Economics and Statistics, you will manage the faculty Data Center, support researchers in the sustainable handling of research data
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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 looking for a/an ... Data
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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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data science techniques. The Tenure Track professorship will be affiliated with the Faculty of Mathematics under the Key Research Area “Computational Mathematics and Data Science” (https
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solid knowledge of statistical data analysis would be of additional advantage but are not mandatory. Ability to work independently and on a team, as well as good communication skills in English (written
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, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/ . To learn
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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: This is part of your personality: Above-average MA in
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of students Contribute to the organization of meetings, conferences, symposiums Involvement in the department administration Strong communication, data presentation and visualization skills Ability to work both
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, projectors, telephony). Providing technical support for courses and other events at the institute. IT support and advice for users. Support in complying with data protection regulations (GDPR) and the
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teaching and research administration This is part of your personality: Master’s degree in Computer Science, Business Informatics, Information Systems, Data Science, Math or an equivalent qualification with