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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage
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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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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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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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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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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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(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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the Norwegian educational system 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
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. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework for Bayesian inference Documented experience with programming in either Python or R. Foreign completed