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an extensive array of resources: UAVs for communication protocol, edge computing and control algorithm development; THz transceivers for high-frequency communication channel measurement and sensing; Real-Time
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. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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Prof Jim McElwaine (Woods Hole, USA). The project involves developing and maintaining radar equipment designed to capture quantitative data on pyroclastic density currents during volcanic eruptions
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embryo. Cytokinesis, the division of one cell into two, is crucial for an organism's development and healthy life. Similarities in the structural and molecular organization of the division apparatus in a
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, including during embryo development or tumour growth. Depending on the interests of the candidate, the project could develop a more specific focus on any of these particular areas of research. The work will
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, supporting the development of innovative combustors, and driving innovative technology solutions. The role also involves contributing to research funding bids, supporting licensing or spin-out activities, and
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to the advancement of the project, through the development of their own research ideas and interpretation of the project. The successful candidate will work with Prof Martin Roderick as the project lead. The post is
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, into accessible and practical resources, and will use these, alongside their scoping activities to support bid development activities across the Centre. The successful applicant will be expected to be proficient in
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, together with the appropriate skills and knowledge, required to lead and develop experiments to meet the project goals. The post holder will be expected to be familiar with narrowband and tunable scientific