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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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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
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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
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selection criteria Experience with behavioural-related experimental work Knowledge on programming in R/Python is beneficial Personal characteristics To complete a doctoral degree (PhD), it is important that
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-related experimental work Knowledge on programming in R/Python is beneficial Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently Work in a
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interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written
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mathematics). You must have solid programming skills and documented experience implementing algorithms and running reproducible experiments in Python and/or MATLAB. PLEASE NOTE: For detailed information about
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mathematics). You must have solid programming skills and documented experience implementing algorithms and running reproducible experiments in Python and/or MATLAB. PLEASE NOTE: For detailed information about