299 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs at University of Oslo
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
UiO/Anders Lien 10th April 2026 Languages English English English PhD Research Fellowship in Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement
-
Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement About the position A PhD fellowship is available at the Institute of Clinical Medicine, University of Oslo
-
with the EU). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296940/post-doctoral-fellowship-norcie-norwegian-centre-for-international-economics Where to apply
-
computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source
-
collaboration with world-leading international collaborators at institutions such as Netherlands Cancer Institute and Karolinska Institutet. For more information and how to apply: https://www.jobbnorge.no/en
-
depend on the candidate’s qualifications and CREATE's needs. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295895/phd-research-fellow-in-social-sciences Where
-
is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations
-
work especially the real-time interaction among humans and between humans and a remote environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296470/phd
-
cultural development in the life sciences" Apply for this job See advertisement Job description Depending on qualifications, one PhD/postdoctoral research fellowship (SKO 1017/SKO 1352) is available
-
, 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 synthetic data generators