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To address this limitation, this project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling. High
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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in implementing feasible blockchain-based solutions to support trustworthy machine learning. An opportunity for two talented students to undertake their PhDs on two projects that concentrate
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that relate to this PhD project: Computer Vision / Augmented Computer Vision Machine Learning Electronics mini/micro portable devices design UAV navigation and automation There are many fields that relate
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. Proficiency in programming languages (e.g., Python, MATLAB) and experience with machine learning or data analysis techniques would be advantageous. Excellent written and verbal communication skills, as
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treading that will enable efficient and reliable renewal of tyre in short time by machine learning driven printing method. This will be accomplished by developing novel 2D material based elastomer
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This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work
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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct