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15 Sep 2025 Job Information Organisation/Company Seed Robotics Research Field Computer science » Cybernetics Computer science » Programming Computer science » Systems design Engineering » Control
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to WAN and inter-domain networking, Excellent command of foundational and applied AI technology, from neural networks, distributed reinforcement learning to agentic AI and recent developments in
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex
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developments in MCF, component and subsystem design and implementation, and the practical engineering aspects of MCF-based systems and networks. With the collective expertise of all partners, MATCH stands as a
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-Brain inspired Neuromorphic Nanophotonics (InsectNeuroNano). The long-term vision of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/# ) investigates the pathobiology of human-pathogenic fungi and identifies
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex
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16 Sep 2025 Job Information Organisation/Company Vision Institute Department Developmental Biology Research Field Neurosciences » Neurobiology Biological sciences » Biology Researcher Profile
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of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and integrated sensor arrays. The project combines several different concepts: Progress in