Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- University of Agder
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- Western Norway University of Applied Sciences
- University of Inland Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nature Careers
- Norwegian University of Life Sciences (NMBU)
- The Norwegian Polar Institute
- University of Stavanger
- 3 more »
- « less
-
Field
-
project´s overall objective is to provide an experimental and numerical framework to predict CO2 gas hydrate self-sealing in geological formations. Our multi-scale approach is cross-disciplinary and aims
-
for epidemiology and medical statistics. The position is part of the project “Targeting the Epstein-Barr virus to treat and prevent MS (EBV-MS)”, financed by the EU programme Horizon Europe. The main aim
-
caprock are situated below or in the CO2 gas hydrate stability zone. The CoolSeal project´s overall objective is to provide an experimental and numerical framework to predict CO2 gas hydrate self-sealing in
-
Position as Postdoctoral Research Fellow available at the SIRIUS Laboratory, located in the Reliable systems (PSY) research group at the Department of Informatics, University of Oslo. Starting date no later
-
Cookie-erklæringen var sist oppdatert 14.06.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan
-
well as documented expertise in computational methods. Experience with high performance computing is strongly preferred. Experience from applied work in change and anomaly detection is an advantage. Fluent oral and
-
on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
-
and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
-
have expertise in at least one of the following research areas: PDEs, numerical methods, optimization, functional analysis, or stochastic analysis Candidates without a master’s degree have until 1st
-
a single method for anisotropic flow modelling for both ice and olivine, by mapping CPO parameters directly to anisotropic viscosity parameters. This technique should reduce the computation complexity