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dynamics and learning in artificial and biological neural networks, with the aim of: Unveiling the link between network structure and neural representations. Understanding the impact of structural and
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artificial and biological neural networks, with the aim of: Unveiling the link between network structure and neural representations. Understanding the impact of structural and energetic constraints on circuit
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the chemical structure alone. Once established, we will expand the self-driving labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In
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, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from the chemical structure alone. Once established, we will expand the self-driving
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. Therefore, we provide various training and development schemes. Where you will be working You will join Dr Mengqing Wu’s research group, consisting of one PhD candidate and two postdoctoral researchers
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addresses this challenge in two ways: We investigate the fundamental neural mechanisms that control movement. We explore engineering-based solutions to restore function when these pathways are disrupted. As a
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department, currently home to 18 faculty members (junior and senior) and about 65 postdoctoral researchers and PhD candidates. Research at the department covers a broad range of topics, including stellar
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experiment at the LHC. The project will be conducted in close collaboration with Dr Flavia de Almeida Dias and a postdoctoral researcher in experimental particle physics. Your appointment will be for four
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Technology (PSST), which is funded by the Horizon Europe Marie Skłodowska-Curie Action. You will receive a joint doctorate from Radboud University and from the University of Lisbon. As a PhD candidate, you
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28 Aug 2025 Job Information Organisation/Company Radboud University Research Field Engineering » Electrical engineering Engineering » Electronic engineering Physics » Applied physics Physics