179 data-"https:"-"https:"-"https:"-"https:"-"Anglia-Ruskin-University" Fellowship positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- University of Stavanger
- NTNU - Norwegian University of Science and Technology
- OsloMet
- Nord University
- University of Agder
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- NORCE Norwegian Research Centre
- University of South-Eastern Norway
- Østfold University College
- 3 more »
- « less
-
Field
-
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
-
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
-
. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about
-
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
-
financing by the University of Bergen. About the project/work tasks The fellow will be part of the existing research community at Statistics and Data science group. The research project for the fellowship
-
. This randomized controlled trial was conducted over a period of three years and was led by Principal Investigators Veslemøy Rydland and Ratib Lekhal. For more information, see the project website . The data
-
— systems. It targets pioneering an architecture optimized for bilateral sensor processing. By fusing multiple data streams, VEST-CHIP aims to improve health tracking accuracy and unlock capabilities such as
-
, GenAI models act as probabilistic black boxes, often producing plausible but factually incorrect information without source attribution. This poses unacceptable risks particularly in high-stakes domains
-
register data and experimental methods to assess causal effects of sentencing and programming on the reoffending, employment, education and/or family outcomes of sentenced individuals. The successful
-
dynamic environments. The positions have four different research questions: Data-Driven Underwater Manipulation Using Artificial Intelligence Resilient Navigation Systems for Autonomous Aerial Vehicles