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and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness
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years. We will analyse: (macro-level) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,332 - € 5,929 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 26 May 2024 Apply now We are looking for a
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, cognition and behavior, and neuroimaging data) and to publish findings in international scientific journals. Co-supervise a PhD student. Present work at internal and external meetings. To publish findings in
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part in teaching and student supervision activities in areas related to your expertise; What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural
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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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to: Conduct analyses of the data (environmental chemicals, cognition and behavior, and neuroimaging data) and to publish findings in international scientific journals. Co-supervise a PhD student. Present work
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: PhD in one of the following fields, or closely related: machine learning, computer science, applied mathematics, statistics, signal processing, acoustics, bioacoustics Experience in training and
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of our planet’s resources, one of the main goals of WUR. Your qualities You possess: A PhD degree in ecology, wildlife biology, conservation biology, statistics, computer vision, data science or a related
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are looking for a positive-minded scientist with a PhD, fluent in English, both in writing and speaking and, preferably some experience as a postdoc in image analysis and some experience teaching and