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to join the AttentionLab for a one-year position starting in October 2026. The successful candidate will contribute to an internationally visible VICI project investigating how pupil dynamics reflect visual
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qualities We are searching for a candidate with the following qualifications: Fluency in Dutch and English; A PhD degree in social and environmental policy sciences or related disciplines; Expertise and
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their added value against simpler machine-learning baselines; train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies
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against simpler machine-learning baselines; • train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies and
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multidimensional feature space of visual information to support data-driven journalism. This includes experiments for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal
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models. As a result, your project will inform and enhance decision-making in coastal dune management. The ultimate goal of this project is to build a surrogate wind field model that can feed accurate wind
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consequences for human health effects. You will help design, implement, and conduct in situ observation studies with partnered pilot sites (in the Baltic, Mediterranean, and Atlantic) complemented with
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strategies, via the assessment of ecological functions, biodiversity impacts, and potential consequences for human health effects. You will help design, implement, and conduct in situ observation studies with
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments