Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- BI Norwegian Business School
- OsloMet
- University of Bergen
- NORCE Norwegian Research Centre
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Oslo National Academy of the Arts
- OsloMet – Oslo Metropolitan University
- UNIS
- University of South-Eastern Norway
- 3 more »
- « less
-
Field
-
characterizations via e.g. X-ray, SEM and AFM measurements. In addition to these main tasks, we are part of a large group of collaborating scientific groups, giving us access to, for example, low temperature magneto
-
and Technology (NTNU) for general criteria for the position. Preferred selection criteria Documented competence within X-ray imaging, diffraction or electron microscopy, preferably transmission
-
systems can have consequences for product quality and/or yield. The increased use of high-quality vision systems (including depth cameras and X-Ray) in robotics has extended capability significantly, but
-
10 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Structural Engineering Research Field Engineering Researcher Profile
-
tunnels and field conditions Characterize root system architecture (RSA) using high-throughput, non-destructive phenotyping methods (e.g. X-ray CT, rhizotron imaging) to identify adaptive traits for drought
-
the semantic foundation that enables AI systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI
-
with standard-grounded assurance principles into a coherent theoretical structure. The PhD candidate will conduct fundamental research on how monitoring information can be used to evaluate adaptive
-
systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI outputs in a known structure. This
-
Contact City Oslo Website http://www.uio.no/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail valeria.vitelli@medisin.uio.no william.denault@medisin.uio.no STATUS: EXPIRED X (formerly Twitter
-
of offers available1Company/InstituteNorwegian University of Life Sciences (NMBU)CountryNorwayCityÅsGeofield Contact Website http://www.universitypositions.eu STATUS: EXPIRED X (formerly Twitter) Facebook