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Field
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machine learning/AI or cybersecurity, or both, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas. Software programming skills. To be successful
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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machine learning/AI or cybersecurity, or both, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas. Software programming skills. To be successful
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to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables
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machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage
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journals and conferences in relevant areas. Software programming skills To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where
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Action (BISCA) , and other strategic research initiatives such as the Met Office Academic Partnership and Birmingham’s Turing University Network . The recently renovated Elm House, is a building fully
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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and deploy the most promising prototypes at multiple field sites around the world via our global collaborator network. An important part of the work will be publishing high quality research papers in
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and deploy the most promising prototypes at multiple field sites around the world via our global collaborator network. An important part of the work will be publishing high quality research papers in