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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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Università di Pisa - Dipartimento di Scienze Agrarie, Alimentari e Agro-Ambientali | Italy | 1 day 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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repairing a wide range of mechanical door systems and electronic access components. This includes but is not limited to door hardware, automatic door operators, electronic locks, card readers, access control
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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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meaningful insights from multi-modal cancer imaging data (PET, MRI, Photon-Counting CT). Creation of automatic and semi-automatic segmentation tools to identify and classify regions of interest, including
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tools for the analysis of intracardiac flow and the estimation of haemodynamic biomarkers related to thromboembolic risk. Training and deployment of an automatic segmentation tool based on nnU-Nets
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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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of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module
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Internal Number: 496001 Department: Central Facility Services Salary: Commensurate with Experience/Education Description: Installs, inspects, maintains and repairs electronic locking systems and automatic
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are: To support the development of an automatic tool anchored in the electronic medical record of primary care to identify all patients candidate to receive secondary CV prevention therapies, to help GPs maximising