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must hold a master's degree or the equivalent in medicine, health sciences, statistics or equivalent method-oriented subjects, or must have submitted his/her master's thesis for assessment prior
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statistics is required. Experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages is required. Experience with AI-related research and/or
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learning: mathematical foundations, (probabilistic) learning algorithms, performance measures, metrics, visualization, statistics, downstream tasks such as dimensionality reduction or generative modelling
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a condition of employment that the master's degree has been awarded. Experience from machine learning, geomatics/GIS and spatial statistics is a requirement. Good programming skills is a requirement
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in machine learning or statistical learning and hands-on experience in data analysis and modelling hands-on knowledge in building and experimenting with sensor-based systems. the candidate should be
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in machine learning or statistical learning and hands-on experience in data analysis and modelling hands-on knowledge in building and experimenting with sensor-based systems. the candidate should be