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from the Netherlands (e.g. SOVON, CBS Statistics Netherlands, Netherlands Institute of Ecology NIOO-KNAW, University of Tilburg, Naturalis Biodiversity Centre) and abroad (Forest Science and Technology
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modeling, multi-variate statistics, and Threshold Indicator Taxa Analysis. Consistency in identified tipping points and affiliated uncertainties using the different statistical approaches and biodiversity
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to your expertise; What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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implementation of the developed approach. You will work within a cohort of young researchers (8 PhDs and 3 PDs, of which 2 PDs are from this Phase II project) from various Dutch academic research institutes
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of uncovering the interplay between the various mechanisms underlying the social phenomena of polarization, segregation and inequality using a large data set curated by CBS (Statistics Netherlands
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team members (including the PI, the PhDs, and other associated researchers at the UvA and other institutions); Assist with administrative responsibilities related to the project, including organization