Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of Stavanger
- OsloMet
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- University of Agder
- NTNU Norwegian University of Science and Technology
- OsloMet – Oslo Metropolitan University
- University of Inland Norway
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- The Norwegian Polar Institute
- Western Norway University of Applied Sciences
- Østfold University College
- 6 more »
- « less
-
Field
-
methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
-
education. Research topic The PhD Fellow will be affiliated with the research project “Resuscitation data analysis”, which is a collaboration between researchers at Department of Mathematics and Physics and
-
semiconductor physics Strong data analysis skills Candidates without a master’s degree have until August 31, 2026 to complete the final exam. Desired qualifications: To or more of the below; Experience with
-
, or similar systems) Experience or strong interest in: Benchmarking and evaluation of complex AI systemsm Robustness, uncertainty estimation, and failure-mode analysis, Deployment of AI systems in high-stakes
-
for appointment. Solid background knowledge of accelerator physics and/or plasma-accelerator physics. Experience from experiments in plasma acceleration, plasma lensing or RF acceleration. Strong data analysis
-
oxazolidine chemistry. Method development and chemical analysis will also be a central part of the project to, among other things, map photochemical degradation products. The career-promoting work is linked
-
. Method development and chemical analysis will also be a central part of the project to, among other things, map photochemical degradation products. The career-promoting work is linked to the National
-
this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization Identifying optimal multi-use portfolio considering battery degradation
-
experience in statistical analysis and practical skills in statistical software such as R or STATA. It is considered an advantage if you: Have knowledge of health registries, perinatal epidemiology
-
overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization