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interdisciplinary collaboration across clinical care, nutrition science, and recovery research. Website for additional job details https://www.unifg.it/en/studiare/corsi-post-laurea/ciclo-xlii/scienze-e-tecnolo
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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international secondments, network-wide training events, and interdisciplinary research activities Acquire highly sought-after expertise in microfabrication, photonics, materials science, and optical sensing
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