Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- Nord University
- UiT The Arctic University of Norway
- Molde University College
- Norwegian University of Life Sciences (NMBU)
- NHH Norwegian School of Economics
- NORCE
- Norwegian Meteorological Institute
- OsloMet
- SINTEF
- Østfold University College
- 2 more »
- « less
-
Field
-
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
-
and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB
-
challenges in machine learning for short multivariate time-series analysis. By developing a multiway and multitask learning framework with built-in explainability, the project aims to deliver clinically
-
this emerging field in close cooperation with our research group and the industry. The goals of the PhD project include: Analysis of the sources of CO2 with potential for delivery to the CCS facilities in
-
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
-
computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
-
-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
-
Dissertation on a topic in business economics, industrial organisation, public finance, asset management, risk analysis, shipping economics, or the economics of natural resources Core courses in probability and
-
or other weak points where partial discharges have started can be made with advanced online detection methods. This includes both injection of high frequency signals and analysis of the response
-
employment. Required selection criteria You must have an academically relevant background within Risk Analysis or Naval Architecture. This can be proven by the academic papers/presentations, participation