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Field
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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
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materials, or membrane technology. Proven experience in experimental work, either from industry, R&D, or PhD research. Applied knowledge of adsorption, separation, catalysis, and process development
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familiarity with laboratory methods, such as qPCR, immunohistochemistry and flow cytometry are required. Experience in use of omics tools and handling of big dataset as well as analysis of data using R software
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statistical analysis and ecological data, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition
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development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller
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development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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. 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
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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imperative, both orally and written. Documented experience with scientific programming (e.g. Python, Matlab, R; any history of activity on GitHub) as well as computational or statistical methods for data