Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Stavanger
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of Agder
- NTNU Norwegian University of Science and Technology
- CICERO Center for International Climate Research
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- OsloMet – Oslo Metropolitan University
- University of Agder (UiA)
- University of Oxford
- Western Norway University of Applied Sciences
- 4 more »
- « less
-
Field
-
better subsurface understanding, uncertainty quantification, and robust forecasts suitable for emissions reduction, increased energy efficiency, and recovery improvements with large amounts of data
-
candidate. The overarching theme will be the interplay of training data composition (e.g. different types and selections of data) and fine-grained evaluation in the development of large language models. LTG
-
of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship in statistics. We are looking for a motivated candidate, with a deep interest in mathematical statistics, with a
-
. Experience with GIS tools, Big Data platforms, or document integration tools is an advantage. Experience from participation in national and/or international scientific collaborations is an advantage
-
The intended focus of the position is to advance the research on preference learning for LLMs, including the use of synthetic data, and in particular for data-constrained settings. We welcome applicants with a
-
of large language models (LLMs). The research profile of the group is heavily machine-learning oriented and the group has access to excellent HPC infrastructure. For more information about LTG, please see
-
performance. The research will involve working with large-scale datasets and may include the use of advanced data analysis or AI-based methods to support modelling, uncertainty analysis, and systemic risk
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
quantitative skills, ideally including experience with large data sources Demonstrable expertise in the use of R statistical software for data management and statistical analysis Experience in using genetic
-
large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and