Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
- NHH Norwegian School of Economics
- Nord University
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- BI Norwegian Business School
- OsloMet
- The Norwegian School of Sport Sciences
- University of Agder (UiA)
- University of Oslo
- University of South-Eastern Norway
- 3 more »
- « less
-
Field
-
15th February 2026 Languages English English English PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position
-
learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
-
the following fields: Large Language Model-based application development. Knowledge Graph Development for Sensor Data. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial
-
three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the
-
8 Dec 2025 Job Information Organisation/Company NHH Norwegian School of Economics Department Economics Research Field Economics » Other Researcher Profile First Stage Researcher (R1) Positions PhD
-
is part of a large interdisciplinary research project, Freedom to Choose (FREE) , financed by the Research Council of Norway and hosted by FAIR – Centre for Experimental Research on Fairness
-
for animal use in research, will be considered a strong asset. Computational and Data Analysis: Proficiency in software such as FlowJo and GraphPad Prism is expected. Experience in large-scale data analysis
-
regularly in highly ranked international journals, and is often mentioned in both international and domestic media. The center has a large international network, and regularly organizes workshops and
-
, cargo, harbors etc. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms
-
experience. The candidate will be supervised by senior scientists but is expected to work independently on day-to-day tasks, and will work with existing data from large, population-representative samples, with