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requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills Experience with programming in Python or similar languages
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data
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) for general criteria for the position. Preferred selection criteria Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge of statistics will be an advantage
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experience with statistical analysis and programming (Bash, R, MATLAB, Python or similar) is required. Excellent communication and collaborative skills (team player) is required. Excellent English scientific
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programming (R, Python, or similar) is an advantage. Interest in acquiring the necessary statistical analysis and programming skills is required. Previous experience with experimental research is an advantage
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-based computational homogenization. Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting experimental work
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for the position. Preferred selection criteria Experience with modern statistical techniques using relevant scripting languages (R, python, bash, etc.) Experience with genomic library preparation Experience working
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Excellent skills in relevant programming languages, particularly Python and C++, incl. good knowledge
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, activities, and/or theses. Programming experience in Matlab, Python or similar packages Good oral and written presentation skills in English language. -------------------------------------------- PLEASE NOTE