Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
- Norwegian University of Life Sciences (NMBU)
- Nord University
- University of Bergen
- BI Norwegian Business School
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- UNIS
- University of Agder
- University of South-Eastern Norway
- 2 more »
- « less
-
Field
-
on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
-
engineering Engineering » Mechanical engineering Mathematics » Applied mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 13 Apr 2026 - 23
-
18 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer
-
UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
UiA. The successful candidate will spend 18 months at UiA followed by 18 months at the BE-CEM group at CERN, while remaining active in the PhD programme at UiA for the full 36 months. The PhD Candidate
-
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 nettsiden til å fungere. Cookies hjelper oss å få
-
Prof. Guillaume Dutilleux (Faculty of Computer Science and Electrical Engineering, Acoustics Group) ensuring scientific guidance across acoustics and solar energy. Internal dialogue will be developed
-
well as several associated partners (https://www.nnrc.uio.no/english/research-themes/rt-5/ ). The PhD candidate will be part of a dynamic and productive academic team with a large international network covering
-
Programme HEPARD is an interdisciplinary doctoral training network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across
-
machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will participate in the project activities. Your
-
(suckler cow) will be improved to better account for grazing effects on enteric methane emissions. The net effect of different feeding strategies (pasture types, grazing vs. cut-and-carry vs. grass silage