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. These components see applications in the transport, catalysis and bioengineering industries. The research will focus on wet chemical processes and the study of chemical reactions on the component's surface. We will
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as early indicators of anthropogenic and climate-driven change. However, limited understanding of the processes shaping species’ biogeographic distributions constrains our ability to predict ecological
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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transcripts for all completed degree programmes, and a reference to the project ‘CSC-26-WS’. Please find further information on the overall CSC scholarship application process as follows: China Scholarship
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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theories and models. This project aims to develop new insights into how bedrock incision processes interact with geological and climatic factors (i.e. spatially variable uplift, shield building, mega
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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familiarise yourselves with FLOOD-CDT before applying. During the application process candidates will need to upload: a 1 page statement of your research interests in flooding and FLOOD-CDT and your rationale
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for specific project Fit to FLOOD-CDT So please familiarise yourselves with FLOOD-CDT before applying. During the application process candidates will need to upload: a one-page statement of your research