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
- University of Agder (UiA)
- University of Stavanger
- UiT The Arctic University of Norway
- ;
- University of Agder
- NIBIO - Norwegian Institute of Bioeconomy Research
- Nord University
- Norwegian Academy of Music
- Norwegian University of Life Sciences (NMBU)
- Peace Research Institute, Oslo (PRIO)
- Østfold University College
- BI Norwegian Business School
- CMI - Chr. Michelsen Institute
- King's College London
- OsloMet
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- The Norwegian Center for Holocaust and Minority Studies
- The Oslo School of Architecture and Design (AHO)
- The Peace Research Institute Oslo (PRIO)
- VID Specialized University
- Western Norway University of Applied Sciences
- 16 more »
- « less
-
Field
-
-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
-
. Further information about the PhD program at KMD can be found here . The department will host an online orientation meeting for the position 8 January 2025 at 12.00 hrs (CET). Participate at: https
-
will host an online orientation meeting for the position 8 January 2026 at 14.00 hrs (CET). Participate at: https://uib.zoom.us/j/62281498137?pwd=Qakqii2iD8DxRLgrArHcugDrNKyEbW.1 Project proposal
-
for forest applications Good presentation skills, written and oral Qualifications that will be emphasized Experience from research in boreal forest ecosystems Programming skills Experience with machine
-
pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a
-
Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
-
, geometric deep learning. Considered an advantage: experience in programming or course work in computer science, algebra, topology or differential geometry, knowledge of topological data analysis or machine
-
resource in the working and learning environment at UiS. When we have different backgrounds and experiences, we can approach challenges from multiple perspectives and find better solutions. At UiS, we
-
with international consortia and a close collaboration with the research ethics group in the Centre for Medical Ethics. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
-
) to Proteome Sciences, Frankfurt (Germany), University of Strathclyde, Glasgow (United Kingdom) and Capitainer AB (Sweden). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job