52 machining-"https:" "https:" "https:" "https:" "https:" "https:" Fellowship positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- NTNU - Norwegian University of Science and Technology
- Oslo University Hospital
- University of South-Eastern Norway
-
Field
-
research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively
-
investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https
-
explored to analyse the high-dimensional Raman and autofluorescence datasets. Machine-learning approaches will be used to identify spectral features and molecular signatures associated with infection
-
: Background in adapting or development of optical microscopy platforms such as fluorescence based super-resolution microscopy, diffraction tomography or quantitative phase microscopy systems, Machine learning
-
high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a
-
investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https
-
period at the University of Oslo. The position is based at the Department of Clinical Molecular Biology (EpiGen; https://epigenahuscom.wordpress.com/) at the University of Oslo, Ahus Campus, Lørenskog
-
spectral analysis will be explored to analyse the high-dimensional Raman and autofluorescence datasets. Machine-learning approaches will be used to identify spectral features and molecular signatures
-
place to study and work. Postdoctoral Research Fellow position within Physics-Informed Machine Learning for Offshore Wind At the Department of Mathematics , there is a vacancy for a postdoctoral research
-
modelling for planning structural heart interventions. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167557384 Requirements Research FieldEngineering » Biomedical