Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Graz University of Technology
- University of Vienna
- Johannes Kepler University
- Montanuniversität Leoben
- TU Wien
- University of Innsbruck
- Universität Wien
- AALTO UNIVERSITY
- Academic Europe
- Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck (IQOQI-IBK)
- Institute of Science and Technology Austria (ISTA)
- Kunstuniversität Linz
- Personalabteilung der Montanuniversität Leoben
- Technical University of Leoben
- Vienna Biocenter Core Facilities GmbH
- 5 more »
- « less
-
Field
-
8 Jul 2026 Job Information Organisation/Company Johannes Kepler University Department Institute of Signal Processing Research Field Engineering Computer science Mathematics Physics Researcher
-
30 Jun 2026 Job Information Organisation/Company Johannes Kepler University Department Institute of Chemical Technology of Inorganic Materials Research Field Chemistry Researcher Profile First Stage
-
in the fields of technology and natural sciences. More than 4,000 scientists in eight faculties conduct research on "Technology for People" in five main research areas. The content of the offered
-
research projects in the fields of machine learning, computer vision and explainable AI You develop and evaluate machine learning approaches for physiological or human-centered data, such as gait analysis
-
Ecology (DOME; https://dome.univie.ac.at ) within the Department of Microbiology and Ecosystem Science, which is part of the Centre for Microbiology and Environmental Systems Science (CeMESS), established
-
. To study them, we produce and purify their individual subunits, reconstitute the complexes in vitro, and characterize them structurally using cryo-electron microscopy and X-ray crystallography, complemented
-
investigator. The Tenure Track position will be based in the Division of Microbial Ecology (DOME; https://dome.univie.ac.at ) within the Department of Microbiology and Ecosystem Science, which is part of
-
an FWF-funded research project at the University of Arts Linz and the Vienna University of Technology. It explores what design and art can learn when diverse abilities are the methodological foundation
-
strategies, producing explainable security scores with assurance. Research spans three levels: business processes, service provisioning, and software engineering, and feeds results back into risk estimation
-
4277-743-22/23/24/25 Email: [email protected] Web: https://www.maxperutzlabs.ac.at/research/research-groups/ameres If you have any questions, please contact: Stefan Ameres stefan.ameres