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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
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working in healthcare You have Foundational knowledge of engineering design principles Familiarity with computer-aided design (CAD) and/or 3D modeling software Interest in 3D printing, prototyping
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decision-making across diverse applications in computer vision and data analysis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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of courses in image processing, computer vision, XR technologies and biomedical imaging applications, experience as supervisor of engineering and master’s theses, confirmed by at least 20 successfully defended
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infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 2 months ago
at the timely recognition of errors and anomalies. In particular, a computer vision system based on a network of cameras will be developed for the real-time 3D reconstruction and understanding under
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at the IRIT-ENSEEIHT campus in Toulouse. Integrated within the REVA team at IRIT. Strong interaction with ALICIA-Vision LabCom partners (CNRS / Technicolor-Mikros). Where to apply Website https://emploi.cnrs.fr