33 assistant-and-professor-and-computer-and-science-and-data Fellowship positions at University of Bergen
Sort by
Refine Your Search
-
23 Apr 2026 Job Information Organisation/Company University of Bergen Department Department of Chemistry Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD
-
the intersection of computer and life science. CBU has members with diversecompetences including experts in bioinformatics, biology, mathematics, computer science, chemistry, and biomedicine. CBU’s primary focus is
-
assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission
-
at Jobbnorge. General information: For further details about the position, please contact Professor Martino Marisaldi, Department of Physics and Technology, University of Bergen, e-mail: martino.marisaldi@uib.no
-
language must be uploaded at Jobbnorge. General information: For further details about the position, please contact Associate professor Erwan Le Roux, erwan.leroux@uib.no (Department of Chemistry) or Head
-
17 Apr 2026 Job Information Organisation/Company University of Bergen Department Department of Earth Sciences Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD
-
be uploaded at Jobbnorge. General information: For further details about the position, please contact Professor Martino Marisaldi, Department of Physics and Technology, University of Bergen, e-mail
-
at Jobbnorge. General information: For further details about the position, please contact Professor Martino Marisaldi, Department of Physics and Technology, University of Bergen, e-mail: martino.marisaldi@uib.no
-
language must be uploaded at Jobbnorge. General information: For further details about the position, please contact Professor Martino Marisaldi, Department of Physics and Technology, University of Bergen, e
-
the use of modern machine‑learning methods within applied mathematics—particularly physics‑informed learning, anomaly detection, data‑driven modelling, and the construction of surrogate models grounded in