Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- University of Agder
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- Oslo Metropolitan University
- OsloMet
- University of Agder (UiA)
- University of Bergen
- 1 more »
- « less
-
Field
-
collaborative research environment at UiA focused on robust inference about ecological and evolutionary change in human-influenced systems. Researchers work with complex data from diverse marine and terrestrial
-
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 organisation's protection of security-sensitive objects and knowledge, in addition to other relevant legislation concerning access to and handling of sensitive information. Based on this, it is a requirement that
-
processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
-
infrastructure and surrounding terrain. The work can include physics-based modelling of e.g., various events and wave propagation through different media, signal processing, large-scale data analysis, algorithm
-
associated health risks. Together with supervisors, the PhD Research Fellow, will contribute to the finalization of the test protocol and will be responsible for collecting physiological data that provide
-
. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations of these. Applicants
-
processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
-
, the Norwegian Directorate for Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control
-
of asphalt mixtures, field data analysis and calibration using case-road tests. The candidate will work in close cooperation with the Norwegian Public Roads Administration (Statens Vegvesen) to achieve