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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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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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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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lead to debilitating motor disorders. Our research addresses this challenge in two ways: We investigate the fundamental neural mechanisms that control movement. We explore engineering-based solutions
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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
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you an enthusiastic young scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a Master's degree in physics (photonics), electrical engineering or a related
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-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction and social science, with lifespan perspectives. Using advanced