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of the proposed PhD are: (i) To investigate novel neural scene representation methods and their complementary with respect to conventional geometric methods (ii) To develop methods to decompose raw 3D scenes
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The PhD in Drug Discovery and Development is an advanced training program designed to prepare highly qualified researchers in the field of pharmaceutical sciences. The program adopts a multidisciplinary
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look for correlations between transient phenomena in the ionosphere and seismic events. The successful candidate will develop and apply state-of-the-art machine learning techniques to enhance
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https://forms.cloud.microsoft/e/W473FY1WNn Requirements Research FieldEngineering » Biomedical engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Your profile A. Education A.1 You
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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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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