69 computer-programmer-"the"-"IMPRS-ML"-"IMPRS-ML"-"Prof"-"UNESP" positions at University of Vienna
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programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination activities, evaluation measures and in quality assurance. take on
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programmes tailored to specific target groups. You will proactively establish and maintain relationships with industry partners to create added value for our target group through collaborative programmes and
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of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis The position We welcome applications from
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developing your own academic profile. Your future tasks: You will actively participate in the research and teaching programme of the Institute for Canon Law and Religious Law as well as take on administrative
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teaching, the applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The Tenure Track
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program in Intercultural Philosophy of Religion and of the Research Center “Religion and Transformation in Contemporary Society”. Active participation in the “Vienna Doctoral School of Theology and Research
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language education. Successful candidates will be part of the team that supervises and develops the Master’s degree programme ‘German as a Foreign and Second Language’ and are therefore also involved in
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Law or a related subject that allows registration in a Law Faculty doctoral programme at the University of Vienna, for example in the doctoral programme Interdisciplinary Legal Studies. • Desired
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reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and