Available MSc theses in Computational Science: Geoscience

Title Published Supervisor(s)
Fault interpretation and characterization using machine learning Sep. 16, 2020
Imaging the microstructures of fossil earthquakes in Lofoten using machine learning Sep. 9, 2020
Study of glacial hydrology with drifters Aug. 31, 2020
Sinking slabs and rising mantle plumes; modelling the implications of the lower-mantle spin transition Nov. 6, 2019
Ground model development – Geostatistical and Machine Learning prediction of soil properties Oct. 31, 2019
Using machine learning to estimate bulk snow density based on weather data Oct. 8, 2019
Machine learning in Urban Hydrological Modelling Oct. 2, 2019
Development of a classification algorithm for ice crystal habit using machine learning Oct. 2, 2019
Characterization of glacial water flow using lagrangian drifters Oct. 2, 2019
Satellite radar image time series for detection of surface changes related to hydrology and geohazards Oct. 2, 2019
Rekalibrering av en snøskredmodell med medrivning Oct. 2, 2019
Direct statistical downscaling of global circulation model (GCM) outputs to streamflow Oct. 2, 2019
Capturing H diffusion in silicates by means of vibrational spectroscopy Sep. 26, 2019
Searching for amorphous sulfates on Mars with Supercam Sep. 26, 2019
Stirring the magma ocean with changing buoyancy and viscosity of various silicate melts Sep. 26, 2019
Understanding Pluto’s interior at the atomic scale Sep. 26, 2019
Using machine learning to reveal rock physics Sep. 23, 2019