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systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline
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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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systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline
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Università di Pisa - Dipartimento di Scienze Agrarie, Alimentari e Agro-Ambientali | Italy | 13 days ago
assignment - Department of Agriculture, Food and Environment - duration 12 months - expiration date 22nd Aprile 2026 at 1:00 pm Where to apply Website http://www.unipi.it Requirements Additional Information
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. The researcher’s activities are to develop and validate on a pilot an agent-based generative-AI pipeline for automatically generating reports from the data collected in the data lake, while supporting and
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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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for the automatic analysis of vocal and conversational content, with a particular focus on healthcare applications and natural language understanding. The activities will involve the study, design, and validation
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capture system and to elaborate an automatic analysis of times, methods, and ergonomic load of human operators. Activities: development of methodology and writing software for the execution of the analysis
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or automatic traditional trapping devices, verifying their robustness, reliability, and transferability in the field in the context of precision agriculture. They will also contribute to optimizing
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, Shunlei Li, Sara Moccia, Giorgio Peretti and Leonardo S. Mattos, “Automatic Delineation of Laryngeal Squamous Cell Carcinoma during Endoscopy,” Biomedical Signal Processing & Control, https://doi.org