Sort by
Refine Your Search
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Aarhus University
- Aalborg Universitet
- Technical University Of Denmark
- Copenhagen Business School
- Geological Survey of Denmark and Greenland (GEUS)
- Technical University of Denmark
- University of Southern Denmark (SDU)
- Graduate School of Arts, Aarhus University
- Technical University of Denmark (DTU)
- Technical University of Denmark;
- University of Southern Denmark
- 3 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
-
to the 3 + 2 Bologna process) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system
-
with multi-nature sensing data from optimally chosen locations Development and application of advanced fracture mechanics models for crack initiation, growth simulation and remaining fatigue life
-
research has focused on optimizing materials chemistry to improve performance. Despite these advances, the fundamental processes governing electrochemical interfaces, particularly their degradation and
-
Greenland Ice Sheet change with modern observations and broader ocean and climate processes. You enjoy working both independently and as part of an international research team and are interested in
-
, coordinate across internal functions, and translate new external demands into organizational priorities, practices, and decision-making processes. A central component of the work will be qualitative empirical
-
paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
-
the detection of accelerants, contaminants, and degraded forensic evidence and integrate advanced data processing and visualisation techniques to handle and interpret large hyperspectral data sets. Clearly
-
and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile