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recycled plastic feedstock. You will utilise pre-existing modern metrological methods such as MT 2.0/VFM to obtain rich datasets from a relatively sparse set of tests on recycled polymers, using additive
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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-term for 12 months. You will be working in a small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and pilot testing of original learning
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by UKRI and is fixed-term for 24 months. You will be working in a small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and pilot testing
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, engineering or a related discipline. • You will have experience in the electrochemical testing of Li-ion batteries or related energy storage devices, alongside experience of X-ray photoelectron
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to think critically about experimental design, develop and test hypotheses, and integrate data from multiple approaches to address fundamental biological questions. The post-holder should hold, or be
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develop an analytical framework to achieve the grant objectives. Specifically, the postholder will write and publish scientific papers that test whether local extirpation is prompted by the same
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for new research directions. The post-holder will be encouraged to think critically about experimental design, develop and test hypotheses, and integrate data from multiple approaches to address fundamental
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refining experimental protocols, working with in-situ microscopy and Raman spectromicroscopy, and analysing complex datasets to test and develop new hypotheses. You will manage your own research activities
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force. The project will use a range of optical methods to examine and measure interactions in colloidal and molecular systems. The research requires strong interest in and knowledge of the broad area of