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numerical methods for the inverse design of nanophotonic structures enabling broadband, multiparameter sensing in fiber-based systems. The project is a collaboration between AMOLF, TU Eindhoven, and
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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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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