Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI). In the evaluation of which candidate is best
-
disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
-
digital fish to be used for testing, verification, and training applications. Research Objectives The PhD candidate will focus on the following core objectives: Develop high-fidelity, physics-based digital
-
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
-
, Genomics, Cell Biology, or Biotechnology. Experience in next generation sequencing and handling of big data set as well as analysis of data using R software will be advantageous for the position
-
-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
-
, or work experience from the industry Keen interest in both theoretical and experimental studies, including practical engineering research work in the laboratory Knowledge of programming/software, e.g
-
: én måned Navn: jobbnorge.language Leverandør: .jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy
-
: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler for databehandling Utløpsdato: Session Navn: SERVERID
-
statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data, unsupervised learning, or rank-based modelling / preference learning will