Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- University of Agder
- University of Inland Norway
- Western Norway University of Applied Sciences
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Norwegian University of Life Sciences (NMBU)
- The Norwegian Polar Institute
- University of Stavanger
- 2 more »
- « less
-
Field
-
simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
-
of Computer Science at UiT The Arctic University of Norway. HDL’s mission is to build and experimentally evaluate the systems, methods, and tools needed to analyze and interpret complex health datasets. The group
-
. The postdoctoral researcher participates in a project set between classical public opinion research, (social) media (content) analytics and data linkage, and Computational Social Science. The goal is to capture
-
within Algorithms and Extremal Combinatorics At the Department of Informatics at the University of Bergen, there is a vacancy for a postdoctoral research fellow position within Algorithms and Extremal
-
for application The successful applicant must have experience in the following areas: Recombinant protein expression and purification Determination of protein-ligand complexes using X-ray crystallography
-
towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
-
ice and olivine, by mapping CPO parameters directly to anisotropic viscosity parameters. This technique should reduce the computation complexity enough to integrate anisotropic viscosity into 3D dynamic
-
) and micro-computed-tomography (μ-CT) scanning as well as stable isotope Ratio Mass Spectrometry (IRMS). The candidate will be supervised by an international team of researchers from Norway (University
-
spectrometry (LA-ICP-MS), Raman spectroscopy, time of flight secondary ion mass spectrometry (ToF-SIMS), electron microscopy (EM) and micro-computed-tomography (μ-CT) scanning as well as stable isotope Ratio
-
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