Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
-
mining, which revolves around the data-driven analysis of organizational processes. At WST, we offer an excellent working environment in a young and dynamic research team. As a member of the team, you will
-
. This position in the field of bioanalytical chemistry is dedicated to the development and application of innovative mass spectrometry-based workflows and data evaluation tools. The developed metabolomic and
-
and understanding of bioarchaeological data is a prerequisite. We offer the opportunity to work in an international and interdisciplinary team with a range of theoretical and methodological approaches
-
, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
-
qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 14.07.2025 Prae Doc
-
to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 25.07.2025 Prae Doc
-
documents: Please submit a single PDF file (LastName_FirstName.pdf) containing the following information in English via e-mail to the Scientific Director, Alwin Köhler (ScientificDirectorOffice
-
CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 05/31/2029 Job ID: 3938 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum
-
and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data