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39 Faculty of Computer Science Startdate: 01.10.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2031 Reference no.: 3905 Among the many
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39 Faculty of Computer Science Startdate: 01.07.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.06.2029 Reference no.: 4027 Among the many
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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, which means: Developing a third-party funded project to be submitted to a competitive programme (e.g. Marie Curie, FWF individual project, FWF Esprit) Further developing your academic profile through
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to the study and teaching of the language and literature of ancient Greece and Rome, including Late Antiquity, as well as the late, medieval, and Neo-Latin language and literature. At the core of the program is
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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
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methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s scientific and societal challenges. The candidate will
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administrative tasks in research, teaching and administration. This is part of your personality: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in
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: Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical University of Vienna. Dedicated to a mechanistic