Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- The Norwegian Polar Institute
- University of Agder
- University of Inland Norway
- Western Norway University of Applied Sciences
- 1 more »
- « less
-
Field
-
years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete
-
generative AI models are replicated and perhaps exaggerated in the output of generative AI, and that this could lead to culturally specific narrative biases. Applicants are required to submit a detailed
-
management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggerated in
-
one in Tromsø (UiT The Arctic University of Norway). Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of
-
Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational
-
theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies of statistics, logic
-
employment period is three years. A premise for employment is that the PhD Research Fellow will be enrolled in USN's PhD-program in Technology within three months after accession. About the PhD-project
-
Multivariate Modelling for CO2 Capture Apply for this job See advertisement About the position TThe Faculty of Technology, Natural Sciences and Maritime Sciences has a vacancy for a temporary 100 % position as
-
something we aim to achieve in the project. The work will involve theoretical and computational modelling of the droplets and how they wet soft interphases. It is planned that the numerical simulations and
-
well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations