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Union within the project “A Comprehensive Trustworthy Framework for Connected Machine Learning and Secure Interconnected AI Solutions (CoEvolution)”, - CUP F23C24000210006 – selection code: ipd_10D_0426_09/IINF
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activity is aimed at developing tools based on machine learning techniques for the automatic analysis of privacy policy pages. CUP: B83C24003210001 Where to apply Website https://xup.di.uniroma1.it
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3 Apr 2026 Job Information Organisation/Company C.N.R. - IEIIT Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Article 22 bis of Law 240/2010 - Department of Computer Science - duration 12 months - expiration date 11th April 2026 at 1 pm Where to apply Website http://www.unipi.it Requirements Additional Information
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based on machine learning tools for energy problems related to prediction. The application domains include both industry and climate changes. The first two months will be devoted to the study of
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for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial
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network structures. Methods from graph theory, machine learning, and artificial intelligence will be employed to model complex relational structures and identify patterns in high-dimensional data. The work
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Computer-Assisted Laser Microsurgery System Based on Rotary Voice Coil Actuators,” IEEE Transactions on Medical Robotics and Bionics, Print ISSN: 2576-3202, Online ISSN: 2576-3202, https://doi.org/10.1109
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, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Cultural Heritage Technologies (https://www.iit.it/it/web/cultural-heritage
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, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Cultural Heritage Technologies (https://www.iit.it/it/web/cultural-heritage