8 biostatistics scholarships in Norway

PhD Fellow in knowledge-driven machine learning

, and Computer Science, and from researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, and the Norwegian

PhD Fellow in knowledge-driven machine learning

, and Computer Science, and from researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, and the Norwegian

13 PhD positions in knowledge-driven machine learning (ref 257181)

and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT

PhD position: Sharing and combining expert and citizen science data for improved ecological inference: an interdisciplinary approach

master's level based on a 5-year cumulative period of study (including the Bachelor’s degree) or equivalent education, within Environmental Science, Zoology, Ecology, Geography, Biostatistics or other

13 PhD positions in knowledge-driven machine learning

, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the departments of Physics and Technology, Mathematics and

PhD Candidate in Medicine

biostatistics. In this project, we will investigate the association between impaired hearing and long-term risk for cardiovascular disorders by linking data from the longitudinal, population-based HUNT study to

PhD-position (4 years) at the Department of Clinical Science

models, with the aim to solve clinical problems. Qualifications and personal qualities: The applicant must hold a master`s degree or equivalent in medicine, molecular biology, immunology, biostatistics

PhD-position (4 years) at the Department of Clinical Science

. Qualifications and personal qualities: The applicant must hold a master`s degree or equivalent in medicine, molecular biology, immunology, biostatistics, or bioinformatics Experience from a molecular biology