Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- University of Bergen
- BI Norwegian Business School
- Nord University
- NHH Norwegian School of Economics
- NORCE
- Norwegian Institute of International Affairs
- Norwegian Meteorological Institute
- Queen's University Belfast
- SINTEF
- 1 more »
- « less
-
Field
-
for databehandling: Piwik Pro - Personvernregler for databehandling Utløpsdato: 30 minutter Navn: _pk_sesxxx Leverandør: www.jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal
-
for databehandling: Piwik Pro - Personvernregler for databehandling Utløpsdato: 30 minutter Navn: _pk_sesxxx Leverandør: www.jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal
-
background and interest for coding scientific software is required. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students
-
disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
-
for databehandling Utløpsdato: Session Navn: __RequestVerificationToken Leverandør: .jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler
-
international research network and are provided with personal computers, printer access, extensive library resources, and a wide range of software. Further information on the Department of Economics and on
-
in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
-
engineering and/or timber engineering. Experience in scientific timber-related laboratory work Knowledge of Finite Element software programs (e.g. Abaqus and OpenSees or similar) Programming skills (e.g. Matlab
-
to metocean statistics and development of software packages related to the generation of said statistics. This work amounts to 25% (one year) of the total project period and allows the PhD project to run over a
-
computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis