Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Aalborg University
- Nature Careers
- Aalborg Universitet
- University of Copenhagen
- Aarhus University
- Copenhagen Business School
- Technical University Of Denmark
- Graduate School of Arts, Aarhus University
- COPENHAGEN BUSINESS SCHOOL
- 1 more »
- « less
-
Field
-
at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
-
campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend: Synthetic Relighting of Real-World Environments via Generative AI and Computer Graphics Pipelines
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Quantum Information Processing in Networks. The stipend is
-
. The stipend is within the Data Engineering, Science, and Systems (DESS) research group and supervised by Professor Torben Bach Pedersen. Within Digital Energy, DESS has developed the award-winning FlexOffer
-
Computer Science, fully funded by a major research project from the Novo Nordisk Foundation (NNF). The successful applicants would become part of the Data Science & Statistics section at the department
-
learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
-
of Electrical & Computer Engineering (ECE) invites you to apply for a 3-year researcher position (post doc level). Expected start date and duration of employment This is a 3–year position from April 1st 2026
-
engineering, and data intensive methods, with a strong focus on real world impact through collaboration with industry, utilities, and public stakeholders. Research themes The PhD positions are embedded in
-
As research assistant, your primary tasks are full time laboratory work and data analysis. You contribute to the development of the department through research of high international quality. In your
-
of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics