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/funding reference: TSI-100925-2023-1 Component 16 of the Recovery, Transformation and Resilience Plan. National Strategy for Artificial Intelligence. ENIA's strategic axis 2 of action "Promoting
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/funding reference: TSI-100925-2023-1 Component 16 of the Recovery, Transformation and Resilience Plan. National Strategy for Artificial Intelligence. ENIA's strategic axis 2 of action "Promoting
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motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial intelligence. About the project Vulnerabilities in software products continue to be a major
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We are offering a fully funded PhD position with a duration of four years for a motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
mechanics, and artificial intelligence (AI)—specifically in the domains of non-destructive evaluation (NDE), computer vision, and machine learning. It addresses a critical challenge in the structural health
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), the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a full-time position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees
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funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Our group builds artificial intelligence
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Requirements Master’s degree (≥4 years) in Computer Science, Informatics, Engineering, Mathematics, Physics or equivalent; PhD in Computer Vision, Artificial Intelligence, Machine Learning, and Data Science, or
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Centre for Cognitive Science and Artificial Intelligence at Tilburg University. The project will be supervised by Dr. Koen Haak and involve collaborating closely with a postdoctoral researcher, the group
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models