25 machine-learning positions at UiT The Arctic University of Norway

PhD Fellow in knowledge-driven machine learning

Stig Brøndbo 15th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in knowledge-driven machine learning Apply for this job See advertisement The position Join

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 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 Machine Learning for graphs and time series data

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

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 the intersection of information theory and deep learning

Excellence, funded by the Research Council of Norway. Integreat aims to shape the new field of knowledge-driven machine learning in Norway. Our research makes machine learning more sustainable, accurate

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

PhD Fellow in Computer Science

machine learning and with strong programming skills, and with an interest in working in close collaboration with industry. Working environment: The project will be done in an interdisciplinary team

PhD Fellow in Deep Learning and statistics for heterogeneous data

studentship affiliation The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with