Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- University of Bergen
- Nord University
- UiT The Arctic University of Norway
- Norwegian Institute of International Affairs
- Norwegian Meteorological Institute
- The Norwegian School of Sport Sciences
-
Field
-
complete a doctorate within the PhD scholarship period. via Unsplash Competence To be considered for the position, the applicant must meet the conditions defined for admission to a PhD programme at NMBU. A
-
in Engineering Demonstrated proficiency in utilization of molecular dynamics simulation software such as LAMMPS, CP2k or VASP, and associated computational methodologies. Strong analytical skills with
-
: én måned Navn: jobbnorge.language Leverandør: .jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy
-
, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net-zero-emissions society. SecurEL aims to develop new knowledge addressing
-
-based computational homogenization. Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting experimental work
-
in programming languages and software commonly used in modeling (e.g., NetLogo, AnyLogic, Mesa, InsightMaker, etc.) is desirable. • Personal and relational qualities will be emphasized. Ambitions
-
of data using R software will be advantageous for the position. The candidate should have an excellent academic record, be highly motivated, demonstrate independent scientific thinking and creativity, and
-
, and environmental sciences, is desirable. • Proficiency in programming languages and software commonly used in modeling (e.g., NetLogo, AnyLogic, Mesa, InsightMaker, etc.) is desirable. • Personal
-
methods to be considered for numerical optimization by an Energy and Emission Management System (EEMS). Data-driven AI methods (e.g. Reinforcement Learning and/or Recurrent Neural Networks) to be considered
-
path. As part of the EPT Women in Science initiative we continue to build on our international network, inviting prominent female academics within and beyond the field of Engineering to speak at our