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Field
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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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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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is also placed on your: has expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi
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expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi-energy systems from different
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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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Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good oral and written communication skills in English English requirements
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evidenced in relevant publication(s) Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant
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-oriented compiled programming language (java or C#) and one general purpose programming language (R or python) be able to work independently and in a structured manner, and have the ability to cooperate with
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, control sys-tems, perception, control engineering, or autonomous systems Familiarity with ROS (Robot Operating System) and programming languages like Python or C++ Experience working with robots or other
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data, quality assessment/filtering, alignment and variant detection. Experience with long-read (PacBio/ONT) NGS sequencing, genome assembly and annotation Strong competence in programming (shell/python/R