Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Aarhus University
- Aalborg Universitet
- Geological Survey of Denmark and Greenland (GEUS)
- Copenhagen Business School
- Technical University of Denmark
- Technical University Of Denmark
- Technical University of Denmark (DTU)
- Technical University of Denmark;
- University of Southern Denmark (SDU)
- 1 more »
- « less
-
Field
-
related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
-
deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
-
Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
-
Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
-
PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
Are you passionate about how to train university students for neutron-based investigation at the European Spallation Source (ESS) in Lund? Do you want to research how students learn via digital
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic
-
applicants who demonstrate substantial hands-on experience implementing, training and evaluating deep-learning models will be considered. General interest in AI or experience limited to running tutorials
-
advice to government agencies and the private sector and supervise university students. The department has an international staff of approximately 30 researchers, PhD students and postdoctoral fellows. We
-
globally recognised business school with deep roots in the Nordic socio-economic model. Our faculty has a broad focus on societal challenges, and we have earned a reputation for high-quality disciplinary and
-
, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic