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to test theoretical hypotheses and identify new regularities; contribute to an interdisciplinary research environment at the interface of physics, epidemiology, and complex systems. This position offers
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to an interdisciplinary research environment at the interface of physics, epidemiology, and complex systems. This position offers the opportunity to work on a problem where theory, data, and societal relevance meet. The
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Netherlands; participate in project publications, research workshops, and other events; build a network with practitioners; and contribute to the project’s overall communication strategy Present your research at scientific
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; build a network with practitioners; and contribute to the project’s overall communication strategy Present your research at scientific conferences Publish results in international peer-reviewed journals
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this PhD position, you will study how citizen collectives can mobilise broad groups of citizens to contribute to sustainability transitions. You explore how these collectives and their networks reach
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and
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will coordinate your work within an (inter)national network of collaborators, while working in an ambitious, motivated, multi-disciplinary team of veterinarians, clinicians, material scientists
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science, environmental modelling, geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers; Knowledge on handling
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underexplored. Rather than functioning as neutral tools, algorithmic models translate complex realities into scores, rankings, classifications, and predictions. In doing so, they shape how problems are defined