Sort by
Refine Your Search
-
highly specialised software development group comprises about 20 full-time employees. More information is available at http://www.icgi.no and http://www.domore.no. The position is based in the Digital
-
Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
-
to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and
-
analytics, uncertainty analysis, energy/ environmental analysis Previous involvement in interdisciplinary research linking energy/ environmental assessment or data analysis Prior scientific publications
-
training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national
-
interpret the architecture to local field potential data recorded in humans who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture
-
information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
-
to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and
-
to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and
-
use and mental health problems, accounting for confounding factors. The project will use large-scale longitudinal survey data linked to national prescription registries and apply causal modelling