Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
-
-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also embedded in
-
25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
-
radionuclides. The successful candidate will combine laboratory investigations, radioanalytical techniques and numerical modelling to improve our understanding of radionuclide behaviour under relevant
-
thesis for assessment prior to the application deadline will also be considered. It is a condition of employment that the PhD has been awarded. Research-level experience with numerical analysis and partial
-
of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine learning in general. OCBE
-
on the processes controlling transport and retention of redox-sensitive, potentially mobile radionuclides. The successful candidate will combine laboratory investigations, radioanalytical techniques and numerical
-
loading. The project combines computational mechanics, nonlinear finite element analysis and soil–structure interaction to address critical challenges in civil protection and societal resilience. Are you
-
bioactives through prospective life cycle assessment and techno-economic analysis. The candidate shall also contribute to address societal expectations and ethical use of marine resources through engagement
-
Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists’ contribution to IPCC and IPBES assessment reports, the International Resource Panel, active participation