Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
on regional-scale modeling and simulation of subsurface flow and geomechanics, including associated numerical and computational methods. Topics may include upscaling, numerical analysis, and the design and
-
/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
-
moving monopoles (aeroacoustic sources). Among other factors, such a source model can be parameterized by the vertical wind speed profile at the turbine. The propagation model will rely on numerically
-
nutrient inputs in terrestrial ecosystems with far-reaching consequences for ecosystem functioning throughout their native range. Currently, virtually no knowledge exists about pink salmon impacts
-
diagnostics (theranostics), focused ultrasound (FUS), and molecular imaging (PET/SPECT). The PhD candidate will be responsible for conducting preclinical studies using animal models of glioblastoma, including
-
amine-based CO2 capture plants. This position at the Department of Chemical Engineering at NTNU focuses on chemical absorption and, more specifically, on the modelling of solvent degradation. Carbon
-
main research topic for this position is to investigate the thermal break-up of pure polymers and composites using a combination of experimental techniques and chemical modelling. For a position as a
-
metocean and biogeochemistry models accounting for climate change impacts across Europe (from the Nordic Seas to the Black Sea and Mediterranean Sea) and the Pan-Arctic region. The PhD project focuses on new
-
31st July 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in Hydrological and Water Resource Modelling in the Himalayan
-
biodiversity. Specifically, the primary focus of the PhD will be to analyse and parameterize models describing the ecological and evolutionary dynamics of small and fragmented populations, and how the risk of