174 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at UNIVERSITY OF VIENNA
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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from Theoretical Computer Science. The group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum Nanophysics, and Quantum Information Group – and at the Faculty
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collaborates across disciplines with faculties at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en
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: “Biomolecules for a Healthy Lifespan,” “Computational Life Sciences,” and “Innovation in Drug Research.” The tenure-track professorship will be located at the intersection of these areas and will contribute
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37 Faculty of Business, Economics and Statistics Working hours: 40 | Collective bargaining agreement: §48 VwGr. A2 Limited until: permanent Reference no.: 4417 The position: We welcome applications
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intercultural philosophical discourse are a prerequisite for a successful application. We are seeking to appoint an excellent candidate who will contribute significantly to the profile and teaching program in
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across disciplinary and cultural boundaries. Completed doctoral/PhD studies in Physics, Theoretical Chemistry or Computer Science, or you expect to complete them in the near future. Established experience
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Master programs in (International) Business Administration, the Master of Banking and Finance, and the PhD program in Finance, especially within the framework of the Vienna Graduate School of Finance (VGSF
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actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models
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/PhD degree in physics and/or aerosol related topics such as atmospheric sciences, aerosol chemistry or meteorology Professional expertise: Knowledge in experimental physics and laboratory and field work