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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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, or improvement projects. Competence in programming and analytical tools (e.g., R and Python). Experience with Principal Component Analysis (PCA) and cluster analysis in health research. Proficiency in English
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, or improvement projects. Competence in programming and analytical tools (e.g., R and Python). Experience with Principal Component Analysis (PCA) and cluster analysis in health research. Proficiency in English
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Analysis: Experience with programming (for example Python/Matlab) and image analysis is highly emphasized. Such experience should be documented. Scientific Curiosity: You are eager to bridge the gap between
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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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Experience with R, Python, image analysis, or genetic data analysis (GWAS) is an advantage Motivation to work in interdisciplinary and international research environments You need to: Be able to work
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
programming languages such as Python, FORTRAN, or similar, and an experience with using an FEA software. You must be fluent in spoken and written English. Your education must correspond to a five-year Norwegian
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system modelling. Very good programming and modeling skills, preferably Python or a similar programming language. Work and/or research experience in a field related to the topic of this PhD
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an advantage: Natural Language Processing; LLMs; R; Python. Experience with teaching and supervision will be considered an advantage. Very good skills in Norwegian or other Scandinavian language is an advantage
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, or the application of machine learning to registry data is highly valued. Experience in statistical analysis, including the use of statistical software such as STATA, R, Python, or SAS, will be viewed positively
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processing, software-defined-radio and similar A solid background in programming and signal processing (C, Matlab, Python, …) Knowledge and experience with embedded systems are a strong plus (C, FPGA