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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
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vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
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English language ability with an IELTS score of 7 with no element below 6.5, or a recent (within 2 years) qualification taught in English; Please also email pgrinfo.psy@durham.ac.uk (Departmental PhD administrator
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intrinsically, offering new solutions for photobatteries that operate more independently of fluctuating light, while offering new slutions for mobile or wearable (micro)electronics, and for light-information
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start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham
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-income countries. The Research Assistants will work directly with Prof. Zachary Parolin. This a good opportunity for a PhD/DPhil student to gain more experience in research and contribute to publications
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in a lab environment. You should be highly driven, keen to learn and you will have strong organisational and communication skills with the ability to effectively prioritise lab duties, both
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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in the field of counselling and psychotherapy, research methodologies and experience of undertaking and disseminating research. Ideally holding or working towards a relevant PhD, for example in social
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By