Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- Western Norway University of Applied Sciences
- Nature Careers
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- UiT The Arctic University of Norway
- University of Agder
- University of Inland Norway
-
Field
-
importance of wet extremes in the development and recovery of groundwater drought. Key focus is analysis of time series, including climate and groundwater level observations, whereas physically-based
-
, operator algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff
-
of groundwater drought. Key focus is analysis of time series, including climate and groundwater level observations, whereas physically-based groundwater modelling is the task of other project partners. Our role is
-
the project aims to provide new fault data and innovative workflows for fault seal analysis. The appointed candidate is expected to work with fault data both from outcrop studies, reflection seismic
-
. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
-
-dimensional data, survival and event history analysis, model selection and criticism, graphical modelling, non-parametric methods, machine learning, hierarchical Bayesian modelling, and time- and space
-
: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
-
their final master exam before 01.08.2025. It is a condition of employment that the master's degree has been awarded. Experience of structural geology and basin analysis is a requirement. Experience of
-
the project choice. Applicants must demonstrate sufficient technical skills required for their proposed project, for example prior experience in photogrammetry, time-series analysis, or cryospheric
-
). Authorization to work with animal research (LAS301, FELASA C). Experience with statistical analysis, e.g., of data from metabolic phenotyping, RNA sequencing, and lipidomics. Colourbox via Unsplash Colourbox We