Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
- University of Inland Norway
- Western Norway University of Applied Sciences
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Oslo University Hospital
- Oslo University Hospital (OUS)
- University of South-Eastern Norway
-
Field
-
data science approaches. Must document scientific programming skills, specifically for data processing and analysis of large datasets. Evidence of creativity and capability of independent research
-
approaches, and a strong interest in geosciences/climate sciences. Must document scientific programming experience, specifically for data processing, analysis, or modeling of the cryosphere. The candidate must
-
the research themes of software engineering, engineering computing, sensor networks and measurement technology, grid computing and physics data analysis, machine learning, and interactive and collaborative
-
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
-
be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge . It is
-
), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research activities across groups based
-
in geospatial data analysis is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and
-
of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ UiO is subject to the Security Act, which governs
-
analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level collaboration between the Digital Signal Processing Group (DSB), at the Section
-
) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research activities across groups based in: Pharmacy, Theoretical chemistry, Medicine, Microbiology and