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, statistics or similar field. Experience in the following topics is required: Proficiency in scripting language (Python or R) and maintaining code repositories In-depth bioinformatics experience working with
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] Snigirev, V., Riedhauser, A., Lihachev, G., Churaev, M., Riemensberger, J., Wang, R. N., ... & Kippenberg, T. J. (2023). Ultrafast tunable lasers using lithium niobate integrated photonics. Nature, 615(7952
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following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside
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to interpret results from a wide variety of omics assays including whole-exome-seq, mRNAseq, ATACseq/ChIPseq, is required. Documented experience with programming e.g. R is required. Documented broad experience
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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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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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and/or R and have a background in Biology, Computational Biology, or Bioinformatics. The ideal candidate will collaborate closely with our team of bioinformaticians, cancer cell and molecular biologists
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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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Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a