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Field
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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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programme, you work in an interdisciplinary team with researchers from the fields of linguistics, psychology, and artificial intelligence. You receive assistance from student assistants in data collection and
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"intrinsically-aligned" artificial intelligence, where accuracy, fairness and explainability are all taken into account when selecting the "best" AI model. Requirements: The essential selection criteria include
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters
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Theory Artificial Intelligence and its Mathematical Foundations Mathematical and Statistical Methods for Big Data Analytics Mechanism and Data Modeling with Integrated Applications Requirements: Under
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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using headturn-preference experiments. In this research programme, you work in an interdisciplinary team with researchers from the fields of linguistics, psychology, and artificial intelligence. You
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for Artificial Intelligence are set to launch in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop
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outside academia. This PhD fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) .Six national research centers for Artificial Intelligence are set to launch
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Artificial Intelligence.” The project aims to develop and empirically validate a taxonomy of non-ordinary states of consciousness (NOS) using artificial intelligence and language technology methods. The focus