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will have: A PhD* or equivalent qualification / experience in Electrical/Electronic Engineering, Signal Processing, or a closely related field. Proven experience in radar systems, radar signal processing
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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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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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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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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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written and oral communication skills. The deadline for applications is the 20th July 2025. The position is tenable from the 1st of September 2025 or as soon as possible thereafter. Informal inquiries
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Processing (e.g., NeurIPS, ICML, IEEE Transactions in Audio, Speech and Language Processing). You will benefit from: Extensive opportunities for collaboration with external project partners. Opportunities
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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