Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Universität Wien
- University of Innsbruck
- AIT Austrian Institute of Technology
- Karl-Franzens-University Graz
- Johannes Kepler University
- LEC GmbH
- Atominstitut TU Wien
- Austrian Academy of Sciences, The Space Research Institute (IWF)
- CeMM
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Graz University of Technology
- PLUS (Paris Lodron University of Salzburg)
- TU Wien
- TU Wien, Fakultät Für Technische Chemie
- 5 more »
- « less
-
Field
-
At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
-
At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
-
biology background Strong ambition and good work ethics #7: Experience in the area of bioanalytical chemistry, statistical analysis of big data #8: Strong programming skills in Python, R, or similar
-
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
-
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
-
publication record in computational mass spectrometry of small and large biomolecule analysis. The candidate should have a strong background in efficient data structures and algorithms suitable
-
At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 2,900 of them contribute to enabling excellent research and
-
, evaluation methods for data analysis (ideally "on the fly") for the detector data will be developed Experience in the field of data evaluation of large volumes and/or programming experience in the field
-
Development”, we are therefore seeking a motivated and innovative PhD student to develop data-driven strategies for condition monitoring of key power unit components in large ICEs using AE analyses, in
-
. Starting from low energy applications like electronics and drive systems, via (large-scale) robotics to heavy industrial applications. We are working in projects in cooperation with national and