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are looking for a talented Postdoctoral Research Fellow to join the RADAR-SIGN-BRIDGE project – an exciting initiative to develop privacy-preserving radar technology for British Sign Language (BSL) recognition
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is
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approaches to understand fundamental biological processes, with the goal of using this information to generate engineered antibodies for use as therapeutics in cancer and autoimmune disease. The appointee is
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that can be designed and optimised for both passive and active photonic components, allowing for the full suite of device functionality to be incorporated via simple and low-cost processes on a single
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ion beam nanofabrication processes for advanced photonic materials and devices, so as to enhance their functionality, optical performance and energy efficiency. To be successful in this role, you will
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knowledge to complement our team. In this role, you will work with others to create glass layers via processes such as flame hydrolysis deposition and various microelectronics and optical fibre fabrication
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the analysis and processing of fine and microscale oceanographic data, preferably from autonomous platforms. We value knowledge of inverse methods to estimate ocean circulation and mixing. You will demonstrate a
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and data processing of the study. Proficiency in data analysis (quantitative and qualitative) and interpretation are essential skills for this role. The postholder will have strong report and paper