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Field
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
-relevant research, Cranfield offers the ideal environment for addressing complex, real-world problems such as automated damage assessment in advanced composite structures. Cranfield provides access
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and
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We are offering a three-year PhD fellowship in Biophotonics for Drug Delivery and Predictive Modelling commencing on 1st of February 2026 or as soon as possible thereafter. Project description
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specially designed test structures and new tunnelling devices realised in advanced CMOS. Based on a thorough literature review and the outcome of this research, the main challenge will be to (co-)develop
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preprocessing of high-quality data essential for training advanced machine learning models. Task 2: Development and training of a deep learning model to accurately predict the bioprinting input parameters
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Division of NORCE Norwegian Research Centre there is a 3-year full time PhD research fellow position available within the field of modeling and simulation of CO2 storage. The position is for a fixed-term
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environment. Apply now if you are motivated to drive the project and eager to advance applied forest remote sensing. Main tasks Process remotely sensed data Develop statistical models predicting tree- and
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group. Advancements in tissue model development are central to the goals of Print4Life, which seeks to revolutionise how functional, bioengineered structures are designed and fabricated. Within