Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Stavanger
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Agder
- University of Bergen
- ;
- Simula Research Laboratory
- Western Norway University of Applied Sciences
- CICERO Center for International Climate Research
- University of Agder (UiA)
- 2 more »
- « less
-
Field
-
of Anomalies ” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre for Knowledge-driven Machine Learning. We are looking for a motivated candidate, who
-
integration and optimized operation using machine learning and AI techniques as key drivers for improving system performance. The hired candidate will have the opportunity to work with cutting-edge energy
-
. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a strong background in one or more of the fields of rock physics
-
resulting precipitation and extreme weather. We study global and regional climate change and are at the core of international community climate modeling efforts that also involve AI and Machine Learning. We
-
both on the sequence and structural level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and
-
Norwegian security clearance Candidates without a master’s degree have until 1st of July 2025 to complete the final exam. Desired qualifications: Experience in areas such as machine learning, computer vision
-
pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a
-
Machine Learning. We are looking for a motivated candidate, who has interest in both theoretical, methodological and applied research in anomaly detection in sequential data settings, and who is excited
-
Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. The University of Stavanger funds the position. It is connected to the international research project
-
measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models