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the project/work tasks: Advanced data management on large datasets to facilitate data for statistical analyses Design and plan analyses Make efficient analysis pipe-lines in the statistical software R
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datasets to facilitate data for statistical analyses Design and plan analyses Make efficient analysis pipe-lines in the statistical software R for automatic statiscal analyses of a large number of
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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the link “Apply for this job”. The following documentation must be uploaded: official transcripts and diplomas master's thesis/major thesis certificates scientific work and R&D activities, as well as a list
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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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, emphasis will be placed on: Experience with relevant R&D work (publishing, methodological knowledge) in the field. Experience in organization and management in healthcare services. Themes and perspectives
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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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ecology, or experimental studies. • Proficiency in one or more relevant programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows
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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