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computational workflows and statistical tools (R, Python, Bash). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you do not already have
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, such as longitudinal data, registry data, electronic health records, cohort data or trial data. Strong programming skills in R, Python or equivalent scientific computing languages. Strong R skills
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Documented knowledge of statistical theory and methods and core machine learning methods Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly
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experience in scientific programing (using e.g., Python, Matlab, and/or Julia), as well as a strong interest in climate science and biogeochemical cycling. The candidate must have proof of excellence in
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) corresponding to a minimum of four years in the Norwegian educational system Have programming experience in Python, specifically for scientific data processing and analysis Fluent oral and written communication
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., Python, MATLAB, R, or Julia) A strong interest in land-atmosphere interactions, data assimilation methods, and land-surface modelling is required. The ability to meet the requirement for security clearance
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(or equivalent) for both the programme as a whole and the Master's thesis. Strong programming skills (Python preferred) and foundations in machine learning. Interest in adaptive interactive systems, biofeedback
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thesis. Strong programming skills (Python preferred) and foundations in machine learning. Interest in adaptive interactive systems, biofeedback, or health and well-being applications. The candidate's