Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- NTNU Norwegian University of Science and Technology
- University of Agder (UiA)
- University of Agder
- Norwegian University of Life Sciences (NMBU)
- OsloMet – Oslo Metropolitan University
- Western Norway University of Applied Sciences
- Nord University
- OsloMet
- Simula Research Laboratory
- ;
- NHH Norwegian School of Economics
- NILU
- NORCE
- Nature Careers
- Norwegian Institute of International Affairs
- SINTEF
- The Norwegian Polar Institute
- The Norwegian School of Sport Sciences
- UNIS
- University of South-Eastern Norway
- 15 more »
- « less
-
Field
-
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
-
archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx and SPIDER, as well as future experiments like LiteBIRD and FOSSIL. We have a large
-
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
-
with silicon probes, Neuropixels, tetrodes or in vivo imaging. Demonstrated experience with computational, statistical analysis or modeling of large-scale behavioral and/or neurophysiological data (in
-
from Earth System Models is a requirement, as is experience working with large observational data sets. Any experience with NorESM would be highly advantageous. A strong background within the area of
-
22 Nov 2025 Job Information Organisation/Company University of Agder (UiA) Research Field Engineering » Civil engineering Engineering » Other Researcher Profile Recognised Researcher (R2) Country
-
into the challenge of integrating and analyzing large and diverse environmental and health datasets. Using semantic data linking, you’ll help turn complex data into actionable, FAIR (Findable, Accessible
-
in large-format commercial cells. The candidate will contribute to the development of the growing research activity in electrochemistry and lithium-ion batteries. We are looking for a highly motivated
-
outreach activities. The postdoctoral fellow will join a research group with access to large, administrative data sets and prior experience with big data and administrative data will be advantageous. NMBU
-
qualifications: Experience in handling large sets of data. Experience in tomography. Experience with operando characterisation of battery material. All candidates and projects will have to undergo a check versus