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for light-based technologies’ with Associate Professor Jenny Malmström (University of Auckland) ‘Tiny droplets with big potential: designing stimuli-responsive liquid micro-structures for sustainable
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics and PhD students, and communicate your research at national
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In the process of laser shock peening (LSP), metallic structural components are hit by controlled laser pulses. The sudden vaporisation of material at the structural surface creates large magnitude
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a focus on meat and dairy promotion. In partnership with Adfree Cities, the student will investigate: (1) the link between advertising exposure and mental health using large-scale secondary data and
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
to identify opportunities for British Sugar as a case study which can then be applied across a wide range of dispersed industrial sites. These sites are those that might not benefit from large infrastructure