Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- University of Agder
- University of South-Eastern Norway
- University of Stavanger
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- CMI - Chr. Michelsen Institute
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nord University
- Simula Research Laboratory
- Simula UiB
- University of Inland Norway
- University of Oslo;
- Western Norway University of Applied Sciences
- Østfold University College
- 6 more »
- « less
-
Field
-
). The position is subject to financing by the University of Bergen. About the project/work tasks Geometric Deep Learning (GDL) is a branch of machine learning that develops neural network models by explicitly
-
are involved in research that is relevant to our education and participate in professional networking both nationally and internationally. The successful candidate will be affiliated with the research group
-
the Atmosphere for Investigation and Learning”), Maria Skłodowska Curie Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic
-
characteristics: Passionate about research with a high level of curiosity and motivation to learn. Ability to work independently and in a team environment. Good communication skills. Motivated to deliver research
-
Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating
-
Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating
-
experience in resource allocation aspects of 5G/6G networks, or relevant technologies such as edge computing It is an advantage to have experience with scientific writing and publication Language requirement
-
, the University of Agder offers an extensive network of partners, providing an excellent opportunity for the chosen candidate to conduct empirical research within a real-world organizational context. For instance
-
, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects in this area and will work
-
, high-content imaging, data science and computational modelling are used to study the biomolecular networks governing cell fate specification and cellular behaviours, such as collective migration and