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- University of Oslo
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- NTNU Norwegian University of Science and Technology
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- UiT The Arctic University of Norway
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, longitudinal modelling, machine learning and multivariate approaches. Proficiency in programming (e.g., MATLAB, Python, or R), handling large datasets, and working with complex analysis 2 pipelines is an
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C
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. Fluent oral and written communication skills in English. Desirable qualifications Documented Experience with Python and/or another scientific programming language. Documented Experience with image
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in Matlab, Python, C/C++, Robot operating system (ROS) Personal qualities Personal suitability and good teamwork skills will be emphasized in the evaluation as well as relevant practical experience
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programming skills in R and/or Python Documented experience with exercise testing (e.g., testing of maximal oxygen uptake) and/or supervision of exercise training in healthy individuals or patient groups
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qualifications: Hydrogeology and analysis of pumping tests Skills in programming (e.g. Matlab, Python) Faroe Islands geology UiO is subject to the Security Act, which governs the organisation's protection
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GitHub (or similar) repositories or other code portfolios demonstrating relevant programming experience (e.g., in C++ and/or Python) (if applicable) If all or parts of your education have been completed
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desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage. Experience with scientific programming (e.g., Python, MATLAB, C++ , or similar languages) is advantageous
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Python, MATLAB, R or equivalent You must have relevant knowledge or experience in one or more of the following: railway engineering, infrastructure maintenance, rolling stock, condition monitoring, sensor