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to find and utilise new data sources. Proficiency in Stata, R, Latex, or Python, etc. Proficiency in a Scandinavian language (Norwegian, Danish, or Swedish). Relevant experience in teaching. Experience with
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for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference and probabilistic recommender systems. The position is connected to the project
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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection
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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection