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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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of coal mining communities in the East Midlands and the Ruhr Area in Germany. You will support with research on a study working with former miners and their families to examine this linguistic heritage
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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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hazard? Do you want to further your career in one of the UK’s leading research intensive Universities? We are seeking a Research Fellow to develop new data-driven models of the magnetohydrodynamics
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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‘SCREED: Supergene enrichment of carbonatite-hosted rare earth element deposits’. This post holder will work with Prof. Martin Smith and collaborators at Camborne School of Mines (CSM) - University
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an AHRC-DFG funded project examining the linguistic practices of coal mining communities in the East Midlands and the Ruhr Area in Germany. You will support with research on a study working with former