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requirement Work plan: The candidate will carry out R&D activities within the scope of the EdgeOnVespa project, namely the development and laboratory validation of a machine vision and edge computing system
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
. NIMSB’s mission is to accelerate cutting-edge research and innovation in systems medicine. Its research and innovation programme focuses on single-cell and spatial multi-omics analyses of human samples
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. Additional optional skills and qualifications: Experience in computer vision for intelligent processing of documents. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1. The Institute of Social
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: Computer and Robot Vision Laboratory (VISLAB) Website for additional job details https://drh.tecnico.ulisboa.pt/bolseiros/recrutamento/ Work
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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to monitoring cracking in concrete bridges and viaducts through computer vision The work is supported by BRISA and will use as case study the viaduct over the Rio de Anços on the A1. Duration: 6 months Maximum
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30 Jan 2026 Job Information Organisation/Company Instituto de Telecomunicações Research Field Engineering » Electronic engineering Engineering » Computer engineering Computer science » Other Other
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/Qualifications Scientific Area: Machine Learning, Computer Vision. Admittance requirements: candidates must hold a Bachelor's degree in Computer Engineering, Computer Science, Electronics, Mathematics, Physics