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external partners, you will contribute to the production of high-quality analytical outputs and publish results in leading journals. The postholder will have substantial ownership over one or more core
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About this role: This exciting Knowledge Transfer Partnership (KTP) project will develop a novel AI-enabled system to automatically detect low-voltage services and conductors from image data and use
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candidate will conduct hands-on empirical research that embraces both experiments and modelling and be responsible for three stands of research (i) using industrial data (and working with industry) to model
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are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You
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evaluation measures. Supporting digital designers, you will help create engaging web app content and integrate it into the Child Feeding Guide, ensuring website analytics and user feedback inform
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establishing yourself in the field. Candidate Profile: A PhD in Power Electronics is desirable or a minimum Masters level qualification with some industry experience (both in power electronics). Skills