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transition” Research unit is coordinated by Dr. Angelica Chiodoni (https://adv-char.iit.it/ ), who has extensive experience in materials characterization, technologies for energy transition and advanced
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real
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spectroscopy and thermochemistry. Where to apply Website https://pica.cineca.it/sns Requirements Additional Information Eligibility criteria Both Italian and non-Italian applicants may take part in the selection
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