Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Oslo
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- ;
- CMI - Chr. Michelsen Institute
- OsloMet
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Simula UiB
- The Oslo School of Architecture and Design (AHO)
- The Peace Research Institute Oslo (PRIO)
- University of Agder
- University of Stavanger
- Østfold University College
- 7 more »
- « less
-
Field
-
modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
-
UiO/Anders Lien 9th February 2026 Languages English English English Join a vibrant team at the University of Oslo as a PhD Research Fellow in Deep Learning for geoscience imaging! PhD Research
-
acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in a hybrid
-
, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
-
groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications
-
UiO/Anders Lien 9th February 2026 Languages English English English Join a supportive team at the University of Oslo as a PhD Research Fellow in Deep Learning for medical imaging! PhD Research
-
profile for their ideal candidates are described as follows. PREMAL is a project focused on privacy-preserving machine learning using FHE. The project will investigate trade-offs between accuracy, time, and
-
construction, and phylogenetic placement Ability to assess where machine-learning approaches may complement existing bioinformatic and phylogenomic methods, particularly for improving taxonomic resolution Skills
-
cameras, heart rate monitors, and dedicated activity trackers for data collection and employ relevant machine learning methods for data analysis and sensor fusion. The PhD Research Fellow will collaborate
-
23rd February 2026 Languages English English English PhD Research Fellowship "Critical Design of Public Service Systems -Youth Marginalization" Apply for this job See advertisement About the