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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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programming (e.g., Python) and working with Linux/Unix environments. Solid mathematical/statistical skills. Preferred/desired qualifications Experience in applying for ESA projects, Horizon Europe, and similar
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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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and no later than autumn 2026. Experience with Python programming or a comparable programming language. You must have a strong academic background from your previous studies and have an average grade
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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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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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submitting their MSc thesis within 30. June 2026 may be considered. Experience using Python or Julia for scientific computing and model implementation. Proficiency in both written and oral English in
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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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) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP Knowledge of or experience with semantic
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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