Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- University of Bergen
- Nord University
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- Molde University College
- OsloMet
- NHH Norwegian School of Economics
- NORCE
- NTNU Norwegian University of Science and Technology
- Norwegian Institute of International Affairs
- Norwegian Meteorological Institute
- Queen's University Belfast
- SINTEF
- Simula Metropolitan Center for Digital Engineering
- 6 more »
- « less
-
Field
-
learning is required. Experience with spectral wave modeling is an advantage. Experience with ocean modeling is an advantage. Experience with metocean data analysis is an advantage. Experience with git
-
) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
-
R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches Familiarity with large-scale survey data, conflict and
-
Element simulations (e.g. pushover analysis and/or incremental dynamic analysis). Moreover, the project aims to verify the ductility requirements with full-scale experimental results and explore
-
), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
-
equivalent in ecology or a related field Familiarity with concepts in species distribution, macroecology, climate change ecology, or biogeography Experience with statistical analysis and ecological data
-
on both meroplankton and benthos data to enhance the value and efficiency of long term time series analysis. The position is based in Bodø and will be available from January 2026. via Unsplash Qualification
-
are generally costly to repair, methods that can precisely and rapidly locate faults or even faults under development are of great value. Localization of very critical cable sections that are close to failure
-
-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
-
practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings