Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Nord University
- University of South-Eastern Norway
- OsloMet
- Nature Careers
- Norwegian University of Life Sciences (NMBU)
- University of Agder
- University of Stavanger
- OsloMet – Oslo Metropolitan University
- SINTEF
- NORCE
- Western Norway University of Applied Sciences
- BI Norwegian Business School
- Molde University College
- NTNU Norwegian University of Science and Technology
- Simula Metropolitan Center for Digital Engineering
- Simula Research Laboratory
- UNIS
- University of Inland Norway
- ;
- King's College London
- NHH Norwegian School of Economics
- Norwegian Institute of International Affairs
- Norwegian Meteorological Institute
- The Norwegian Polar Institute
- Østfold University College
- 19 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Social Sciences
- Economics
- Environment
- Earth Sciences
- Engineering
- Materials Science
- Science
- Linguistics
- Mathematics
- Humanities
- Chemistry
- Philosophy
- Psychology
- Education
- Physics
- Arts and Literature
- Business
- Law
- Electrical Engineering
- Sports and Recreation
- 13 more »
- « less
-
to WAN and inter-domain networking, Excellent command of foundational and applied AI technology, from neural networks, distributed reinforcement learning to agentic AI and recent developments in
-
technology, from neural networks, distributed reinforcement learning to agentic AI and recent developments in this rapidly evolving field, Good personal properties and genuine willingness to collaborate within
-
development, creating complex, dynamic, interrelated systems that are constantly evolving. Stakeholders in local governance, industry, and community all have a role to play in this transformative process. By
-
event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
-
aim to increase the relevance and adoption of the solutions identified. The work will also allow for opportunity to develop fundamental understanding of the drivers of landscape multifunctionality, e.g
-
fisheries and aquaculture. The postdoctoral research fellow will work with fishing gear research related to research area 3 (development, testing, validation, and optimization of biodegradable gear
-
to increase the relevance and adoption of the solutions identified. The work will also allow for opportunity to develop fundamental understanding of the drivers of landscape multifunctionality, e.g. theory
-
for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
-
på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få
-
into oil reservoirs both under development and abandoned. The injection strategy will therefore include various types of CO2 storage types with specific challenges. The available simulation tools today do