Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aalborg University
- Aarhus University
- University of Copenhagen
- Aarhus University (AU)
- Technical University of Denmark;
- Technical University of Denmark
- Aarhus University;
- University of Southern Denmark (SDU)
- ;
- Aalborg Universitet
- Faculty of Medicine, Aalborg University
- Technical University of Denmark (DTU)
- 2 more »
- « less
-
Field
-
of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
-
Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
-
is available from 1 October 2026 or later. You can submit your application via the link under 'how to apply'. Title Data Analytics and Machine Learning on Compressed Data Research area and project
-
to recruit a talented researcher for a 2-year, full-time postdoc in machine learning from 1 October or soon thereafter. Your work tasks We are looking to recruit an excellent postdoctoral fellow to apply
-
Join a research environment where Artificial Intelligence and Machine Learning moves beyond theory into clinical impacts. At the Faculty of Engineering and Science, this postdoctoral position offers
-
are looking for candidates interested in developing new machine learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will
-
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
-
paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
-
Are you analytically sharp and interested in how artificial intelligence can support learning and teaching? Then we have an exciting opportunity for you at Aarhus BSS. We are looking for a student
-
paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported