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Field
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effective conservation policies. Although advances in imaging technologies have enhanced the spatio-temporal resolution of plankton sampling, these data remain virtually unused in biodiversity assessments and
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the structure and robustness of the ecological networks supporting reef fish communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future
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communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future assemblage changes. Determining how coral reef fish food webs and energy
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Aerial Vehicles (UAV), e.g. drones, are increasingly used for equipment anomaly and fault detection in offshore wind turbines. When the drones are employed to take images, the quality of the images can be
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description King’s College London is an internationally renowned university with a distinguished
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discovery, and deep-learning algorithms • Neutron scattering and advanced characterisation techniques The successful candidate will work closely with other PhDs and postdocs involved in similar investigations
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have the opportunity to develop their computational modelling capabilities in this project, alongside learning new skills such as testing on biological tissues and medical image processing
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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found here . A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm