Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- University of Stavanger
- NTNU - Norwegian University of Science and Technology
- University of Agder
- ;
- University of Inland Norway
- Western Norway University of Applied Sciences
- Nature Careers
- Nord University
- The Norwegian Polar Institute
- 3 more »
- « less
-
Field
-
of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a
-
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 to the PhD programme must be submitted
-
an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start
-
is a new initiative that organises the local bioinformatics community and drives bioinformatics innovation by integrating computational and biological sciences to address complex life science
-
-erklæringen var sist oppdatert 10.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
-
program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på
-
requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
-
must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a related field, with a strong quantitative background. Doctoral dissertation must
-
with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in Artificial Intelligence Computer Science Foreign completed degree (M.Sc.-level) corresponding to a
-
Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in