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topics will also be considered as advantages in the ranking of candidates: Electronics design, Signal analysis, digital signal processing, Numerical modelling, Programming in Python or MATLAB
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modelling, Programming in Python or MATLAB, Microprocessors, Measurement science, Scientific writing and publishing. Personal and interpersonal qualities will be emphasized. Ambitions and potential will also
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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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-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 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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to the faculty's Doctoral Programme (link) Good oral and written presentation skills in Norwegian or English language equivalent to level B2. Good programming skills (any programming language, but C# or python
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, Python, FEA software, LabView, etc. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: are ambitious and motivated for research work in this field have good
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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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material testing is considered a plus, specially experience in CT scanning Proficiency in programming with commercial software such MathCad, Python etc., is highly desirable Experience in publishing research
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well as experimental studies keen interest in experimental and practical engineering research work knowledge of programming/software, MATLAB, Python, FEA software, LabView, etc. patience and interest in data analysis