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position within a Research Infrastructure? No Offer Description Want to explore how citizen collectives can drive societal change? Join us as a PhD in using AI-powered agent-based modeling to design adaptive
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circular Netherlands by co-creating and designing an agent-based model of the Metropolitan Region of Amsterdam (MRA). The world is facing many ecological and political challenges, many of them rooted in
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obtain information about the norms and behaviour of others. A combination of agent-based modelling and experiments will be used to examine how people perceive social norms on climate change topics and how
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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the brain–body axis. The project will extend ongoing research by considering population diversity and heterogeneity in exposure profiles and biological responses. You will apply statistical modelling
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Vacancies PhD position on attacks against large language models (LLMs) Key takeaways This project will investigate attacks on large language models (LLMs), a major recent development in artificial
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governance, simulation and modelling (agent-based modelling, discrete-event simulation, network models), data modelling / interoperability (e.g., ontologies/semantics, data standards, API-based exchange
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that entrepreneurs face when they want to produce life-sustaining goods in a regenerative manner. Regenerative practices require business models supported by an organizational design structure that focus on restoring
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microfluidics, ultrasound modeling and signal analysis. Three junior researchers will work synergistically to achieve a framework for improved image-based cancer diagnostics, consisting of an experimental model
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques