Sort by
Refine Your Search
-
Category
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- Western Norway University of Applied Sciences
- Nature Careers
- University of Agder
- University of Inland Norway
- ;
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nord University
- The Norwegian Polar Institute
- 4 more »
- « less
-
Field
-
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
-
(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
-
dissertation, or confirmation that your PhD thesis has been submitted. Documentation of a completed doctoral degree must be presented before taking up the position. A copy of the doctoral thesis (if you are
-
multiwavelet methods in our code (MRChem), and in particular in connection with recent developments for real-time simulations and correlated methods. This development will then be connected to the computation
-
breaks, including parental leave, that are noted in the CV will be taken into consideration when evaluating applicants’ academic record. Copy of Master’s thesis Copies of transcripts: All applicants must
-
Solutions”, an interdisciplinary project integrating 2D and 3D seismic and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity
-
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
-
thematic framework that can be obtained by contacting Copy of master's thesis. For applicants who have not had their master's thesis assessed, documentation of a completed master's degree must be submitted