Sort by
Refine Your Search
-
Listed
-
Employer
- Aalborg University
- Aarhus University
- University of Copenhagen
- Copenhagen Business School
- Aalborg Universitet
- Aarhus University (AU)
- University of Southern Denmark (SDU)
- European Magnetism Association EMA
- Faculty of Medicine, Aalborg University
- Technical University Of Denmark
- Technical University of Denmark
- University of Copenhagen;
- University of Southern Denmark
- 3 more »
- « less
-
Field
-
of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical
-
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
-
10 Jul 2026 Job Information Organisation/Company University of Southern Denmark Department Faculty of Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions
-
qualifications at PhD level, in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, i.e. in CT-imaging and
-
. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
-
of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
-
soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg University is known worldwide for its high academic
-
. Candidates may apply for one or both positions. Please state clearly in your application which position you are applying for or if you are applying for both Pharmacoepidemiology - long-term safety and benefits
-
methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
-
segmentation models, utilize Diffusion Models for synthetic data augmentation, and integrate Vision-Language Models (VLMs) for automated QA report generation. You will work closely with industrial partners