Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- University of Stavanger
- Western Norway University of Applied Sciences
- OsloMet
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Molde University College
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- University of Agder
- 3 more »
- « less
-
Field
-
personal qualities: Applicants must hold a master's degree or equivalent education in reservoir physics, applied mathematics, chemical engineering, geoscience, applied petroleum technology, or a related
-
: Applicants must hold a master's degree or equivalent education in applied physics or mathematics or a relevant engineering subject (e.g. mechanical, aerospace, chemical, or process safety). Master students can
-
. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in Informatics, Physics or Mathematics, or must have submitted his/her master's thesis for assessment prior
-
PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
of the fellowship is research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application
-
, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and
-
of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science
-
combining the mathematical and computational cultures, and the methodologies of statistics, logic and machine learning in unique ways, Integreat's machine learning will solve fundamental problems in science
-
development. As a student in the PhD Programme Science and Technology , you will work towards your doctoral thesis and earn your PhD upon successful defense of your thesis. Main tasks Description of tasks
-
computer science or statistics A solid background in mathematics, linear algebra and statistics. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework
-
this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this and expected