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-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre provides access to extensive global datasets, fostering collaboration across disciplines and
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases and in particular the complications encountered in photometric
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guidelines and advice. Possesses good organizational skills and perseverance. Demonstrates competencies such as conceptual ability, presentation, planning, and monitoring progress. Our working conditions are
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of the largest migrant languages in the Netherlands (e.g., Turkish, Arabic, Tigrinya, Ukrainian) or motivation to learn the language at a receptive level is recommended. Our working conditions are in accordance
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of political violence: from the role and effectiveness of sanctions during military disputes to the increasing importance of non-state actors in war, and from the effect of non-governmental organizations
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much as possible. The Faculty of Behavioural and Social Sciences is strong in research and teaching on human behaviour, thinking, learning, and coexistence. We work on social issues and problems
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interest in experimental testing, data processing, and machine learning. Organization The University of Groningen is a research university with a global outlook, deeply rooted in Groningen, City of Talent
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are desired. We are looking for a talented, motivated and enthusiastic researcher, with initiative and creativity. You are a naturally curious person who is eager to learn more and has a strong interest in
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters