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for the position. Preferred selection criteria Bachelor’s degree in civil engineering Experience in analytical methods and numerical modelling Proficiency in at least one programming language, e.g. C++, Python
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for the position. Preferred selection criteria Bachelor’s degree in civil engineering Experience in analytical methods and numerical modelling Proficiency in at least one programming language, e.g. C++, Python
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. Familiarity with computer programming, e.g., Python, Julia, R, etc. Personal characteristics Motivation for conducting research at an advanced level. Motivation for teaching duties. Ability to work
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selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with ROS is a plus
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for the position. Preferred selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with
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the possibility of linkage to administrative registers. The role of the candidate will focus on developing reproducible code (Stata, R, Python) to curate raw accelerometer data and derive metrics that characterize
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: strong background in quantitative analysis and data manipulation proficiency with programming languages such as R, Python, MATLAB, or similar motivation, and potential for research within seafood
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programming expertise of tools or performing analysis in Python and R is an advantage excellent oral and written communication skills in English skills in written and oral Norwegian/Swedish/German are
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for admission to the faculty's Doctoral Programme . Good programming skills in one or several languages (e.g., Python, Julia, MATLAB, Fortran, C++). Competence in mathematical modeling and languages
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expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory