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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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diagnosis challenging. Small non-coding RNAs are a diverse class of regulatory molecules that influence gene expression at transcriptional and post-transcriptional levels. Recent studies, including from our
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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an interest in computer science and/or computational approaches to engineering applied to this important maritime topic and will be willing to travel to partners within the UK (e.g. Newcastle and Bath
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
Decoding the precise programme regulating neurodevelopment has been crucial to our understanding of brain disorders. A central question is how the brain generates its remarkable diversity of cell
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying marine biodiversity, with an overall aim of decreasing the time between surveying and meaningful...