26 learning Fellowship positions at UiT The Arctic University of Norway in Norway

PhD Fellow in Deep Learning and statistics for heterogeneous data

learning algorithms. The project is an extension to the ongoing RCN funded project “Transforming Ocean surveying by the power of DL and statistical methods” where academia and collaborating private sector

PhD Fellow in the intersection of information theory and deep learning

deep learning. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other

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 knowledge-driven machine learning

Norwegian centre of excellence with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge

PhD Fellow in Deep Learning and statistics for heterogeneous data

at the Department of Mathematics and Statistics , Faculty of Science and Technology  and focuses on developing new methods for incorporating heterogeneous data into deep learning algorithms. The project is an

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

Postdoctoral Research Fellow in Machine Learning for graphs and time series data

at the Department of Mathematics and Statistics , Faculty of Science and Technology  in machine learning for graphs and time series data. The position is a fixed term position for a duration of 2,5 years. Appointment

Postdoctoral Research Fellow in Machine Learning for graphs and time series data

Stig Brøndbo 2nd May 2024 Languages English English English Faculty of Science and Technology Postdoctoral Research Fellow in Machine Learning for graphs and time series data Apply for this job See

PhD Fellow in Computational Geometry and Simulations

for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD

1-2 Postdoctoral Research Fellowships in artificial intelligence for future healthcare solutions

develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse risk. The developed