Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- Nord University
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- OsloMet
- Molde University College
- NHH Norwegian School of Economics
- NORCE
- NTNU Norwegian University of Science and Technology
- Norwegian Meteorological Institute
- SINTEF
- 3 more »
- « less
-
Field
-
10th June 2025 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Analysis of Security, Safety, and Liveness
-
), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
-
equivalent in ecology or a related field Familiarity with concepts in species distribution, macroecology, climate change ecology, or biogeography Experience with statistical analysis and ecological data
-
on both meroplankton and benthos data to enhance the value and efficiency of long term time series analysis. The position is based in Bodø and will be available from January 2026. via Unsplash Qualification
-
practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
-
expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
-
these relate to methodological choices. BIG: Business Administration, Innovation and Governance. Candidates will be required to take a 5 ECTS credit course on fundamental concepts and discourses in business
-
the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration with other researchers, perform data analyses, write scientific articles, supervise
-
epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
-
compounds in collaboration and support with experienced radiochemists. The candidate will acquire and analyze PET/SPECT imaging data, perform kinetic modeling, and contribute to advanced image analysis