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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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proficiency, particularly in Python Experience with or strong interest in, Language models (SLMs/LLMs), Agentic AI systems, Deep learning architectures, Multimodal AI (e.g., text, time-series, sensor data
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Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and
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of results_0.pdf to calculate your points for admission. Applicants are expected to have: Good programming skills, preferably in Python Ability to develop and implement computational methods Ability to work
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, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted
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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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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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electricity/electronics, chemistry, and optics, as you will be working with advanced custom instrumentation. Experience with programming (for example Python/Matlab) and image analysis is highly recommended
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to conduct safe experiments. Experience with optical measurement techniques. Good programming and data analysis skills (e.g., Python, MATLAB, LabVIEW). You must meet the requirements for admission