7 phd-in-structural-engineering scholarships at UiT The Arctic University of Norway

PhD Fellow in the intersection of information theory and deep learning

Torbein Kvil Gamst 28th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in the intersection of information theory and deep learning Apply for this job See

PhD Fellow in the intersection of information theory and deep learning

available at the Department of Physcis and Technology , Faculty of Science and Technology  The SFF Integreat announces one vacant PhD position in the intersection of the research topics information theory and

PhD Fellow in Deep Learning and statistics for heterogeneous data

The position A PhD position is available at the Department of Mathematics and Statistics , Faculty of Science and Technology  and focuses on developing new methods for incorporating heterogeneous data into deep

PhD Fellow in Machine Learning for graphs and time series data

Description The position A PhD position in machine learning for graphs and time series data is available at the Department of Mathematics and Statistics , Faculty of Science and Technology . The position is

PhD Fellow in Deep Learning and statistics for heterogeneous data

qualified for admission to the PhD programme at the  Faculty of Science and Technology  and participate in organized doctoral studies within the employment period. Admission normally requires: A bachelor's

PhD Fellow in Floating Offshore Wind Turbine Operation in icing Conditions

engineering. (see specifications below in “Admission to PhD programme”) A master's thesis with a relevant subject to the research description preferably (offshore wind energy/floating wind turbines). (see

PhD Fellow in Wind shielding & design for weather protection of outdoor working environment

design (icing, snow clogging etc.) It is expected that the PhD-candidate participates in field experiments or/and collection of necessary field data. Including engineering the PhD-candidate is encouraged