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-constrained machine learning, neural differential equations, operator learning, machine learning for dynamical systems, and hybrid mechanistic/data-driven models. · Computational methods for scientific
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applications. Successful candidates will join a modern, growing university with an ambitious, research-driven culture and an international, interdisciplinary, English-language research environment. ## How to
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categories Discipline Applied Science , Biomedicine , Chemistry , Clinical , Computing , Earth Science , Engineering , Environmental Science , Health Science , Life Science , Mathematics , Physics Job
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internationally recognized Master-equivalent degree in physics, nanoscience, or engineering. No citizenship restrictions apply and required visa processes will be supported. A Ph.D. degree from the local
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] Description of the offer : The Physics and Engineering of Nanodevices Group, led by ICREA Prof. Sergio O. Valenzuela invites applications for a motivated and creative PhD student. The successful candidate