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project MAMBO . The central objective of the project MAMBO (Modern Approaches to the Monitoring of BiOdiversity) is to make use of advancements in technology for biodiversity monitoring in Europe. A core
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lens, combining, as per the requirements of the grant, social science and humanities theories and methodologies. More specifically, we aim to draw on urban history, affect (and non-representational
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: Conduct high-quality fundamental research on international law and technology, including but not limited to AI in the fields of defence, security, justice; Develop and execute new and innovative research in
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better the interrelations between polarisation, segregation and inequality using large data sets and methods from physics, mathematics, computational sciences, economics, sociology, psychology, or law? Do
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the Faculties of Social and Behavioral Sciences, Natural Sciences, Economics and Business, and Law. The chosen candidate will investigate the perceptions of various actors of the port area’s water system – its
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for these tasks learning and emergent communication: developing general technology to create learning agents which can communicate with humans, explain their predictions and decision strategies, and also learn
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the context of open science research activities. Via use cases, such as digital twins of the ecosystem, essential climate variables, and cross-infrastructure big data pipelines, the candidate will develop
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encompass analysis of primary and secondary survey data experience with qualitative and mixed research methods are a bonus. You have: a completed (submitted) PhD in human geography, political science
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Behavioural Sciences, the Faculty of Medicine, and the Faculty of Science, together with the Institute for Advanced Study (IAS, UvA). This collaboration brings together unique multidisciplinary research teams
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of researchers on environmental chemistry and toxicology, embedded in the broader context of the Institute for Biodiversity and Ecosystem Dynamics (IBED), on a postdoc position for 26 months (when full-time