Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Nature Careers
- Universität Wien
- Universität für angewandte Kunst Wien
- Academic Europe
- Alpen-Adria-Universität Klagenfurt
- Graz University of Technology
- Institute of Science and Technology Austria
- Johannes Kepler University
- TU Wien
- University of Graz
- University of Innsbruck
- 2 more »
- « less
-
Field
-
The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our
-
. The successful candidate will work on data-driven methods for detecting, diagnosing, and explaining faults in complex building systems using largescale sensor and operational data. The position focuses
-
The University of Vienna is internationally renowned for its excellence in teaching and research, and counts more than 7,500 academics from all disciplines. This breadth of expertise offers unique
-
The University of Vienna is a cosmopolitan hub for almost 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that suits their ideas
-
The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our
-
education in all its complexity. The position is limited to 6 years. Your future tasks: Active participation in research, teaching & administration, which means: Developing and expanding an independent
-
of blockchain technologies. In the long term, we focus on understanding complex systems in order to recognise fundamental security and privacy problems and on researching and developing solutions that go beyond
-
education in all its complexity. The position is limited to 6 years. Your future tasks: Active participation in research, teaching & administration, which means: Developing and expanding an independent
-
biomedical AI concepts into accessible and engaging visual narratives for scientists, stakeholders, and wider audiences. Your Tasks Translate complex life science and AI/ML concepts into clear, compelling
-
complexes. Experience in the field of NMR-spectroscopy, analytical HPLC(-MS) as well as preparative HPLC is required. Basic experience in research methods and academic writing. Attention to detail and ability