Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
-
. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
-
information about the position. The position is a fixed term position for a duration of 3 years. Appointment to the position of Postdoctoral Research Fellow is mainly intended to provide qualification for work
-
of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
-
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
-
). The literature about the Oslo Region successions is extensive, providing a solid foundation for further research. NHM in Oslo has large collections of fossils and rocks, and field exposures are well known and
-
teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at UiT in Tromsø. You must be able
-
. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
-
deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
-
variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with handling large datasets, such as CMIP data, is an advantage