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
- NTNU Norwegian University of Science and Technology
- University of Inland Norway
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- The Norwegian Polar Institute
- University of Stavanger
- Western Norway University of Applied Sciences
- Østfold University College
- 4 more »
- « less
-
Field
-
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
-
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
-
delimitation, and taxonomy) • Experience with field collection, handling, identification and curation of specimen • Bioinformatics for biosystematics (e.g., HTS data handling and analysis) and
-
. In particular, the postdoc will conduct comparative analysis of selected urban areas to identify similarities, differences, and potential policy solutions through the systematic mapping of urban food
-
paragraph declaring if and how AI was used in the development of the proposal. Applicants should have experience within regression analysis and/or the sociology of deviance. Experience with quasi-experimental
-
contribute to this transformative goal. Your role Develop and analyze nonlinear and linear solvers in the context of multi-model analysis of and simulation of subsurface operations Build on a theoretical
-
. Your main tasks will be Develop and preregister analysis plans Prepare data for analyses Contribute to work on user participation within the NeuroPathways project Perform statistical analyses
-
biogeochemical analyses, microscopy, image analysis, acoustic analysis, measurements of vertical flux. Skills in relevant statistical methods and quantitative analyses. Interest and experience in writing
-
. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
-
a focus on data and risk analysis. Accordingly, candidates are expected to have a strong background in statistics and computational methods. The position will be devoted to solve research questions