2022

Doctoral candidate Md Jamilur Rahman at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Seal, and overburden rock characterization of potential CO2 storage sites in the northern North Sea for the degree of Philosophiae Doctor.

Doctoral candidate Volodya Valeriev Hlebnikov at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Deep learning as a tool for seismic data interpolation for the degree of Philosophiae Doctor.

Doctoral candidate Hans Brenna at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Modeling the atmospheric, climatic and environmental impacts of sulfur- and halogen-rich explosive volcanic eruptions in the tropics for the degree of Philosophiae Doctor.

Doctoral candidate Marthe Grønlie Guren at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Imaging and modelling nanoscale dynamics of mineral-mineral and mineral-fluid interfaces during mechano-chemical transformations for the degree of Philosophiae Doctor.

Doctoral candidate Kine Onsum Moseid at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis The dim and distant past: Constraining aerosol forcing history in the 20th century for the degree of Philosophiae Doctor.

Doctoral candidate Peter Horvath at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Ecological Climatology and Distribution Modelling for the degree of Philosophiae Doctor.

Doctoral candidate Ulrike Bayr at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Survey techniques in landscape monitoring: testing new quantitative methods to assess landscape change for the degree of Philosophiae Doctor.

Doctoral candidate Jing Sun at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Deep learning-based seismic data processing for attenuation of interference noise and deblending in the shot domain for the degree of Philosophiae Doctor.