Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Nature Careers
- Graz University of Technology
- Universität Wien
- Johannes Kepler University
- TU Wien
- University of Graz
- University of Innsbruck
- University of Innsbruck, Institute of Computer Science
- Vienna University of Technology
- Academic Europe
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Klagenfurt University
- MedUni Vienna
- Pro2Future GmbH
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- Technische Universität Wien
- University for Continuing Education Krems
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- 11 more »
- « less
-
Field
-
) Limited contract until: 28.02.2030 Job ID: 4889 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic
-
representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation of geographic categories and processes. While we welcome applicants from a broad range of themes and
-
, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic
-
25 Sep 2025 Job Information Organisation/Company Vienna University of Technology Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
-
computer-aided material development, the finite element method and machine learning Expertise in the simulation of functional materials and mesoscopic systems Expertise and experience in the simulation
-
lit. b (postdoc) Limited contract until: 17.11.2025 Job ID: 4674 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join
-
scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of
-
engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
-
Collaboration on research proposals and publications Participation in organisational and administrative tasks Participation in further education programmes Your profile: Successfully completed doctoral or PhD
-
cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's