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., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage. • Field or laboratory
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value: • Experience in Arctic biology, plant ecology, or experimental studies. • Proficiency in one or more relevant programming or scripting languages (e.g., Bash, R, Python) for data processing
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, epidemiological, genetic, or psychometric methods), and proficiency in statistical software such as R, Mplus, or Stata. UiO has developed a matrix for the assessement of qualifications , which exemplifies results
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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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
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for Bayesian inference Documented experience with programming in either Python or R. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent
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Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R or other relevant programming language skills Experience in the following will
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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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degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python