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the use of formal monitors and safety cages to provide dependability guarantees for components using AI. By building on state-of-the-art tools like OCRA and xSAP, the goal is to develop a robust MBSE flow
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the structural and electronic properties of complex materials. Using first-principles simulations, machine learning techniques, and advanced Monte Carlo methods, the student will develop predictive
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2026/2027, subject to obtaining ministerial accreditation pursuant to Ministerial Decree 226/2021. Where to apply Website https://unifg.esse3.cineca.it/Home.do Requirements Research FieldBiological
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responsive materials for tethered robotic function is part of the second endoscopic area namely the olfactory clefts. The goal of the PhD is to develop 3D-printable light responsive materials based on Liquid
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to develop advanced methods for artifact-free hemodynamic angiography with applications primarily in ophthalmology, but also in neuroscience and cancer research. Where to apply E-mail [email protected]
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) to develop new approaches for 1) advanced acquisition routines for STEM, 2) imaging of beam sensitive materials, including 2D materials, 3) analysis of materials for optoelectronics, such as semiconductor
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analysis and developing advanced data interpretation methods, SPACE-MEL aims to unlock deeper insights into cellular organisation and disease mechanisms. The network will train 15 Doctoral Candidates through
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on ultrafast chirality and attosecond electron dynamics, aiming to develop new methods for probing and controlling chiral light–matter interactions with applications in photonics, biosensing, and materials