Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Since 1365. Data protection Application deadline: 09/15/2026 Reference no.: 6005 Tenure Track Professorships https://tt.careers.univie.ac.at/datenabfrage/TT0726MATH01
-
administration and organisation. We are looking for a/an Technician : Measurement Technology, Automation and Data Management (Atmospheric Research) 51 Faculty of Physics Job vacancy starting: 01.07.2026 | Working
-
Position Description At the Faculty of Mathematics at the University of Vienna seeks to appoint a Tenure-Track Professorship in Data Driven Partial Differential Equations The position We are looking
-
of Mathematics at the University of Vienna invites applications for a Tenure-Track Professorship in Data Driven Partial Differential Equations The position We are looking for outstanding scientists who are active
-
science research management, particularly in the establishment, operation, and further development of research infrastructures, as well as with outstanding research expertise in manual and computer-assisted
-
the field of empirical social research, combining different types of data (narrative and linguistic data, observational data and field notes, autobiographical documents and artefacts) and applying your
-
novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
-
novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
-
, eye-tracking research), and statistical data analysis. The position is advertised to the extent of 40 hours/week (100%) for the period of absence of the holder of the position. There is the possibility
-
of German Good written and spoken English Basic computer skills Ability to work well in a team What we offer: An inspiring work environment: You’ll be part of a small, dedicated research team with excellent