Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- University of Stavanger
- NTNU - Norwegian University of Science and Technology
- University of Agder
- ;
- Nature Careers
- University of Inland Norway
- Western Norway University of Applied Sciences
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nord University
- Norwegian University of Life Sciences (NMBU)
- The Norwegian Polar Institute
- 5 more »
- « less
-
Field
-
, sedimentology Competence desired: Chemistry, geochemistry, geosciences, modelling 4) Proxy models for CO₂ sequestration This project will develop data-driven proxy models for CO₂-sequestration forecasting in
-
. Contact For further information about the position, please contact Professor Roger Larsen: phone: +47 77644536 email: roger.larsen@uit.no or Dr. Christian Karl: phone: +47 41383174 email: christian.karl
-
interactions on decadal timescales and the joint influence on for instance high latitude climate. The candidate will analyze a new and novel coupled millennium reanalysis, which uses modern data assimilation and
-
to calculate your points for admission. Emphasis is also placed on your: background in algebraic or symplectic geometry or mathematical physics programming skills and experience with computer algebra packages
-
. The candidate will work with state-of-the-art analytical instrumentation, generate extensive experimental data sets and analyze them using advanced bioinformatics methods. The work tasks include to: Generate and
-
The postdoctoral fellow will be a full member of the team aiming at successfully completing the project’s goals. The candidate will help coordinating data collection for the iterative learning experiments in
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
-
misbalance can be somehow counterbalanced if the language of communication is clear. Indeed, to ensure legal certainty, an individual mustbe able to find relevant information, understand it, and act based
-
or more of the following empirical research methods will be considered an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the