235 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" uni jobs in Denmark
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Southern Denmark
- Aarhus University
- Technical University of Denmark
- Nature Careers
- Aalborg University
- University of Copenhagen
- Copenhagen Business School
- Aalborg Universitet
- ;
- Aarhus University;
- Aarhus Universitet
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- University of Southern Denmark;
- 4 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Business
- Science
- Mathematics
- Chemistry
- Environment
- Materials Science
- Social Sciences
- Humanities
- Linguistics
- Psychology
- Electrical Engineering
- Philosophy
- Arts and Literature
- Earth Sciences
- Education
- Physics
- Sports and Recreation
- Statistics
- 13 more »
- « less
-
developed in collaboration with stakeholders in Greenland and the Arctic, and methodologically, this research can combine legal scholarship with ethnographic, STS, Indigenous, or environmental humanities
-
Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
interested in learning more about the position, please contact Head of the Algorithms Section Kim Skak Larsen at kslarsen@imada.sdu.dk. Conditions of employment Appointment as a Tenure Track Assistant
-
Job Description Are you interested in advancing research at the intersection of Science & Technology Studies (STS), Transition Studies, and Organizational and Institutional Studies? Do you want
-
on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
-
see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
-
see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
-
testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
-
Disentanglement of the Exceptional Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and
-
joint project with the pathology at OUH. Here, the student shall develop statistical and machine learning approaches to identify potential cancer on whole slide scans. The student contributes
-
initiatives Commitment and ability to teach and supervise students at bachelor’s and master’s levels, including course development in digital design, computer architecture, and AI hardware Strong communication