332 assistant-and-professor-and-computer-and-science-and-data-"Multiple" positions in Austria
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Assistant postdoctoral 52 Faculty of Chemistry Job vacancy starting: 06/16/2025 (MM-DD-YYYY) | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 06/15/2028 Job
-
Above-average academic success (at least in the field of civil and corporate law) Excellent computer skills (MS-Office) Experience in working with databases Very good written and spoken English Very good
-
. The duration of employment is 4 years from the start of the contract. Our research focuses on the field of Mathematical Data Science. For more information about our research area and our team, please visit our
-
. The duration of employment is 4 years from the start of the contract. Our research focuses on the field of Mathematical Data Science. For more information about our research area and our team, please visit our
-
and determination? We are currently seeking a/an Student Assistant EIF, Uni Vienna 49 Faculty of Social Sciences Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working hours: 14.00
-
at the University of Vienna invites applications for the position at the assistant professor level ("University Assistant") in the field of marketing. The contract is fixed-term and limited until 30 September 2031
-
/an Organisational assistant 56 Faculty of Mathematics Job vacancy starting: 01.08.2025 | Working hours: 20.00 | Classification CBA: §54 VwGr. IIIa Limited contract until: Job ID: 3984 The Faculty of Mathematics
-
administration and organisation. We are looking for a/an University assistant predoctoral 45 Faculty of Philological and Cultural Studies Job vacancy starting: 01.11.2025 (MM-DD-YYYY) | Working hours: 30,00
-
impact? We are currently seeking a/an University Assistant postdoctoral 45 Faculty of Philological and Cultural Studies Job vacancy starting: 01.10.2025 (MM-DD-YYYY) | Working hours: 40,00
-
: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and