74 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- Nord University
- University of Oslo
- University of Bergen
- OsloMet
- Molde University College
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- BI Norwegian Business School
- NHH Norwegian School of Economics
- NORCE
- NTNU Norwegian University of Science and Technology
- Norwegian Institute of International Affairs
- Norwegian Meteorological Institute
- Queen Mary University of London
- SINTEF
- Simula Metropolitan Center for Digital Engineering
- 7 more »
- « less
-
Field
-
, Information Technology and Electrical Engineering Faculty (Steve Völler), Department of Architecture and Technology (Prof. Arild Gustavsen) About the project The PhD project is related to development of a new battery
-
31st July 2025 Languages English English Norsk Nynorsk English PhD position in Cultural and Cognitive Evolution at the Department of Psychosocial Science Apply for this job See advertisement UiB
-
interactions need to be strengthened, integrating the extracted requirements into services, prototyping the necessary interfaces/software, and iteratively testing via case studies. The development
-
and reproducible research, e.g., in the development of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well
-
supply and a path to a net-zero-emissions society. SecurEL aims to develop new knowledge addressing research challenges arising from accelerated electrification and increased use of the existing grid
-
philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection
-
into 16 research groups. We develop technology and solutions within a number of market areas, aiming to contribute to sustainable development. Background for the position At the Energy & Technology Division
-
), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
-
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
-
the Government Pension Fund for loans, insurance and pension Creative and collegial working environment A workplace with progressive development Flexible working hours Active university sports team General