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
- University of South-Eastern Norway
- University of Stavanger
- NTNU Norwegian University of Science and Technology
- University of Inland Norway
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- Simula Research Laboratory
- Simula UiB
- The Norwegian Polar Institute
- University of Agder (UiA)
- University of Oslo;
- Østfold University College
- 10 more »
- « less
-
Field
-
of MishMash is to create, explore, and critically reflect on artificial intelligence for, through, and in creative practices. Participants in MishMash will examine the impact of AI on creative processes
-
(NICE) Norwegian Centre for Intelligent Computers and Electronics - NTNU. https://www.ntnu.edu/nice For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294530/phd
-
unsupervised analyses, particularly clustering, can be meaningfully trusted to reflect properties of the underlying data-generating process. The central research challenge is to understand how clustering
-
). Separate registration processes for these universities will apply. More about the positions The appointed candidates will work within the framework of the project on one of the following areas: Metabolic
-
The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD position About the PhD Research Fellow
-
Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo
-
of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways
-
of great importance to science and education and is interdisciplinary in its nature. INTED has established a research activity applying AI methods to understand interdisciplinary learning processes
-
. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
-
to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position The Department of Historical Sciences at the Faculty