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to study the impact of emerging AI-driven educational technologies on learning in public educational spaces. You are expected to produce research outputs relevant to the fields of visualization, visual
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Master’s degree (or equivalent) in physics, chemistry, materials science or similar, and shares our passion for developing an emerging technology for practical applications by systematic material development
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) operations and, even more interestingly, for emerging analog computing applicable to neuromorphic artificial intelligence and in-memory computing techniques. Doctoral studies include both the manufacturing
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neural representations (INRs). The intention ius also to explore hybrid models that combine the local sensitivity of CNNs with the global modeling capabilities of these emerging architectures. A central
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). The intention ius also to explore hybrid models that combine the local sensitivity of CNNs with the global modeling capabilities of these emerging architectures. A central goal is to integrate physical priors
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University to investigate the impact of emerging AI-driven educational technologies on learning in public educational spaces. The PhD student is expected to produce research outputs relevant to the fields
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the impact of emerging AI-driven educational technologies on learning in public educational spaces. The PhD student is expected to produce research outputs relevant to the fields of visualization and
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application! We are looking for a PhD student in Visualization Technology and Methodology with a focus on interactive visualization, visual learning, science communication, and educational science, formally