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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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governance analyses. The role involves extended fieldwork in Mexico and close collaboration with UK- and Mexico-based partners, conservation organisations, and government agencies. You will contribute to high
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians
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Applications are invited for a post-doctoral Research Fellow position within the Astronautics Group, in the Department of Aeronautics and Astronautics. The post will work on a collaborative project
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. The post will work on a collaborative project involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just