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been evolving towards architectures inspired by biological neural systems. In particular, neuromorphic photonics aims to develop artificial photonic neurons that process information through sparse, event
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motivated PhD candidate to join our research group working on next-generation neuromorphic computing systems. Inspired by the computational principles of the human brain, neuromorphic systems promise ultra
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systems – so-called neuromorphic computing. Magnonics offers a rich and tuneable platform for wave-based information processing, where interference and nonlinearity can naturally implement neuromorphic
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architectures, neuromorphic computing, hardware security, and energy-efficient computer systems. The candidate will become part of the QuNeCo project, an ambitious collaboration between universities in
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on next-generation neuromorphic computing systems. Inspired by the computational principles of the human brain, neuromorphic systems promise ultra-low-power intelligent processing through event-driven
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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Universiteit Brussel (VUB) for a PhD student in the field of Neuromorphic Photonics and Ising machines. Researchers with a background in Physics, Electronics, or Photonics are explicitly encouraged to apply. You
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-efficient computing? Do you want to contribute to cutting-edge research at the intersection of systems and control theory, optimization, circuit theory, and neuromorphic computing? The University of Groningen
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architectures for AI vision at the edge. AI4IV is offering a PhD scholarship jointly with FBK. The objective is to develop high-efficiency, silicon-native solutions that bridge the gap between neuromorphic
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations, membrane biophysics, physical chemistry, soft condensed matter or computational structural biology. PhD Project 2 – Adaptive Functional Materials for Neuromorphic Computing (CRC 1459) Adaptive