Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
analysis, bioinformatics or in a closely related field (a solid background in applied statistics must be documented) Documented extensive experience in R (or equivalent programming languages) A solid
-
. Experience with relevant field work and lab analyses, as well familiarity with statistics (preferably R) and GIS tools will be emphasized. The applicant must be able to demonstrate/document
-
(e.g., R or Python). It is an advantage if you have: Experience in area-based conservation ecology, marine system ecology, and/or ecology of sea ice-associated species. Experience in Marine Spatial
-
. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious
-
employees and over 70% hold a doctoral degree. We have 7 Bachelor’s programmes and 3 Master’s programmes offered. We have strong focus on R&D in energy, materials, and ocean/marine technology, state
-
. Computational & Data Analysis: Proficiency with software such as FlowJo and GraphPad Prism is expected. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R
-
microbiology, or environmental microbiology. Strong programming/computing skills (e.g., Python and/or R), Unix/Linux command line, and good practices with Git and reproducible research. Experience using
-
NOKUT) Candidates who already hold a PhD will not be considered for the position In the assessment and ranking of qualified applicants, emphasis will be placed on: Experience with relevant R&D work
-
ranking of qualified applicants, emphasis will be placed on: Experience with relevant R&D work (publishing, methodological knowledge) in the field Experience from municipal healthcare in Norway, preferably
-
modelling, preferably in R Fluent oral and written communication skills in English. Relevant and significant scientific publications in respected journals, at the level of the career status of the applicant