Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- University of Stavanger
- University of Agder
- NTNU - Norwegian University of Science and Technology
- Western Norway University of Applied Sciences
- ;
- Nature Careers
- University of Inland Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nord University
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- The Norwegian Polar Institute
- 6 more »
- « less
-
Field
-
focus on Change and Anomaly Detection Apply for this job See advertisement About the position The University of Oslo, Department of Mathematics, Section for Statistics and Data Science invites
-
is part of an epidemiology work package which will mainly work with data from Norwegian health registries, including the Norwegian Prescribed Drug Registry (NorPD), the MS-registry, the Norwegian
-
well data is a requirement, preferably using Petrel. Experience with quantitative earth science and modelling is an advantage. Experience with salt tectonics is an advantage. Experience with the South
-
the course of the period of employment Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to
-
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
-
with data from Norwegian health registries, including the Norwegian Prescribed Drug Registry (NorPD), the MS-registry, the Norwegian Patient Registry (NPR), the Norwegian Registry for Primary Health Care
-
Ph.D. program (specialization in Public Administration) is a prerequisite for employment. More information about the Ph.D. program is available here. completed master’s degree in political science (or
-
is a requirement. Experience in interpreting 3D seismic and well data is a requirement, preferably using Petrel. Experience with quantitative earth science and modelling is an advantage. Experience
-
will collaborate with international teams consisting of psychologists, clinicians, researchers in science and technology, health, industry partners, as well as personnel responsible for ICT, data
-
power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods