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of coatings and thin films, manufacturing processes, robustness and optimization in mechanical modelling, advanced materials characterization. Is also considered the importance of the works that were selected
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aims to harness the power of Data Science, Process Mining, LLMs and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem
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aims to harness the power of Data Science, Process Mining and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem
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activities related to the development of numerical modeling tools for the extrusion process and their use to support process optimization. Specifically, the codes should support the design of processing tools
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various agro-industrial residues. Optimization of extraction processes. Characterization of the obtained cellulose V - Initial grant duration: Twelve (12) months V.I - Renewal Possibility: Possibily
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tasks focusing on the development of physical and computational models of a scaffold with an electroconductive gradient. Task 1. Optimization of the design of a bimaterial scaffold with a conductive part
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on computer vision using deep neural networks. Work plan 1. Data Collection and Annotation for Training AI Models 2. Development and Optimization of AI Models for Fraud Detection V - Initial grant duration: six
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practice – 0 points. c)Specific knowledge (CE): knowledge of the preparation and optimization of mixtures of metal powders with polymeric materials; knowledge of additive manufacturing; knowledge
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of crossing the blood-brain barrier; b) Characterization and optimization of functionalized nanoparticles; c) Encapsulation of a compound with anti-glioblastoma activity in functionalized nanoparticles and
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area of Computational mechanics; Manufacturing processes; Robustness and optimization in mechanical modelling; Characterization of the tribological and mechanical behaviour of materials in the Center