327 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Fellowship research jobs in Norway
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- Nord University
- University of Agder
- NTNU Norwegian University of Science and Technology
- University of Stavanger
- University of Inland Norway
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Simula UiB
- University of Agder (UiA)
- University of Oslo;
- University of Sheffield
- Østfold University College
- 10 more »
- « less
-
Field
-
temperature. 6. Project: Early atmospheric evolution of Venus, Earth, and Mars (S.C. Werner, T.H. Torsvik) Explore which geophysical processes (interior processes, magnetic dynamo, tectonics, atmospheric
-
collaborative research and development project involving the science education sections for Physics, Biology, Chemistry, and Geosciences at the Faculty of Mathematics and Natural Sciences, University of Oslo
-
in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
-
: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research
-
exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
-
advanced techniques involving electron spin superposition states for enhanced sensitivity. The development will be supported by a larger activity in the Solid State Physics group and Centre for Defects in
-
in the development of knowledge. Qualitative methods and techniques like interviews, observations, and action research are preferred, but a mix of qualitative and quantitative may also be relevant. Use
-
learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based
-
requirement: Fluent oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
-
analysis, development of educational material, organization of environmental activities, as well as dataset management and administrative tasks within UiO:Real-World Evidence and the UiOLifeScience