Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Stavanger
- University of Bergen
- University of Agder
- NTNU - Norwegian University of Science and Technology
- OsloMet
- University of South-Eastern Norway
- CICERO Center for International Climate Research
- NORCE Norwegian Research Centre
- NTNU Norwegian University of Science and Technology
- Norwegian Institute of Bioeconomy Research
- OsloMet – Oslo Metropolitan University
- University of Agder (UiA)
- 4 more »
- « less
-
Field
-
results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in
-
availability of large-scale genotype data across Europe, along with detailed register and survey data from several countries, to map out how specific genetic factors covary with and interact with our
-
NIBIO 10th April 2026 Languages English Norsk Bokmål English English Research fellow - Weed control and biology Apply for this job See advertisement Key Information We are looking for a person who
-
big data and advanced methods for modeling exposures, we will establish real-world patterns of hormonal contraceptive use and mental disorders, and identify potential moderating factors such as
-
use the information for anonymous statistics. We offer Involvement in an interesting research project. Good career opportunities . A good academic environment with dedicated colleagues. Flexible working
-
The project, “Not only bad news travel fast”, will explore how ideas, narratives, and opinions spread when people usually interact locally (with friends and colleagues) but occasionally experience large
-
begin in the new Life Science Building , with access to state-of-the-art equipment and a large interdisciplinary environment spanning chemistry, pharmacy, bioscience, and medicine. For more information
-
existing data linkages available in CREATE. These include linkages of registry data across several decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data
-
questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
-
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