42 humanities scholarships at UiT The Arctic University of Norway in Norway

PhD Fellow in knowledge-driven machine learning

for graphs, similarity measures and clustering methods for graphs. Relationship graphs extracted from data have the potential to describe correlations and dependencies among objects in a dataset beyond

PhD Fellow in knowledge-driven machine learning

for graphs, similarity measures and clustering methods for graphs. Relationship graphs extracted from data have the potential to describe correlations and dependencies among objects in a dataset beyond

PhD fellow in Computer Science

given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list

PhD Fellow in Optics – Optical Tomography

used for research training amounts to three years. We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act

PhD Fellow in Optics – Optical Tomography

that the total time used for research training amounts to three years. We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According

PhD fellow in Computer Science

given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list

PhD Fellow in Machine Learning for graphs and time series data

techniques that allow for a human-understandable explanation of the model’s output, thus aiding in systematic pattern discovery within the data. Due to the complex and irregular structure of spatio-temporal

PhD Fellow in Cognitive Neuroscience

wandering). The project requires an enthusiastic and perseverant candidate, who has a strong interest and sufficient background knowledge in studying cognitive and neural processes in humans, and has

PhD Fellow in Machine Learning for graphs and time series data

for generating confidence intervals to spatio-temporal data by addressing the challenge of capturing both spatial and temporal dependencies. Interpretability Develop new techniques that allow for a human

PhD Fellow in Deep Learning and statistics for heterogeneous data

process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public