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and Liu, Supervised learning in physical networks: From machine learning to learning machines, PRX 11, 021045 (2021) [2] Stern and Murugan, Learning without neurons in physical systems, Ann Rev Cond
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ideal if you like to be involved in a PhD that covers the full cycle of numerical design, nanofabrication, and optics characterization, and if you have a keen interest in working towards real-world impact
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11 Apr 2026 Job Information Organisation/Company AMOLF Research Field Engineering » Design engineering Engineering » Microengineering Physics » Applied physics Physics » Optics Researcher Profile
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