Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
25 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Computer science Researcher Profile First
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a technical-scientific
-
9 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electronic Systems Research Field Computer science Researcher Profile
-
motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System Operation and
-
produce a high-volume intermediate chemical to a continuous process and to demonstrate to scale it up to a semi-industrial continuous fermentation process. The role of this PhD position is to develop a
-
Operation Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three
-
, failures and performance degradations can cascade across domains and slices, and platforms are often multi-vendor with different APIs and data formats. At the same time, GenAI and Agentic AI can help
-
spider web in terms of damage-tolerance and the efficiency of energy dissipation. The developed knowledge will provide design guidelines for high-performance materials to meet industrial needs. A hybrid
-
. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in
-
that combines rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career