15 machine learning scholarships 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

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

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

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

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

PhD fellow in Computer Science

included in the application. The perfect candidate has a strong background in computer science, programming, data analytics (statistics and/or machine learning) and/or data security. Applicants must document

PhD fellow in Computer Science

strong background in computer science, programming, data analytics (statistics and/or machine learning) and/or data security. Applicants must document fluency of in English and be able to work in an