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improvement of simulation models, based on process understanding and existing field data, will be needed to study CO2 injection and long-term effect for maximizing the CO2 injection rate and storage utilization
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simulations to (i) minimize the discrepancies between measured and modelled historical ocean carbon sinks, (ii) elucidate key mechanisms driving BCP changes, and (iii) constrain the uncertainties in Earth
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on Svalbard and involve field work activity in Svalbard, during both winter and summer seasons and the implementation of the measured data into numerical models. Travel to the project’s partner institutions
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, engineers and PhD candidates. The PhD candidate is expected to develop an advanced engineering noise prediction model for efficient computation of sound propagation in a range-dependent atmosphere where
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University of Applied Sciences, has a vacancy for a research fellow (PhD position) in mathematical modeling and simulation of surface water flow for 3 years. The PhD research fellow will be part of the PhD
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modeling to simulate the pavement response under different loading conditions. The research will support improvements of the existing specification for the maximum authorized axle load and mass of vehicles
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settings, and (IV) frequent production of too many equally fitting models. The position will involve leveraging AI techniques custom-built for processing high-dimensional, noisy data to help CNA overcome
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(NorESM). In the project, the CLM model will be using the FATES (Functionally-Assembled Terrestrial Ecosystem Simulator) terrestrial ecosystem model and the MIMICS+ module for soil carbon decomposition
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-economic study, design and analysis of integrated systems. Experience with energy system modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis
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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