100 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers in Austria
Sort by
Refine Your Search
-
| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 16.04.2027 Reference no.: 5212 Among the many good reasons to want to research and teach at the University of Vienna, there is
-
homepage: https:// www.mat.univie.ac.at/~rabot . As a team, we value a positive, inclusive, and respectful work environment. In our regular group meetings, we exchange ideas on current topics and projects
-
: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 5171 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and
-
VwGr. B1 Grundstufe (praedoc) Limited until: 15.02.2030 Reference no.: 5055 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration
-
, performing experiments with students and postdocs, analysis of imaging and electrophysiology data, contribution to scientific publications. Please submit your application online at https://apply.ista.ac.at
-
Startdate: 01.09.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2032 Reference no.: 4863 Among the many reasons to research and teach
-
this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a
-
this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a
-
Grundstufe (praedoc) Reference no.: 5208 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world
-
light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we