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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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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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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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‘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
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portfolio of courses that are being developed to reflect the needs of learners working in digital health. Introductory short courses that Bath aims to develop include Data Mining, Statistics in Practice and
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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and big data mining. The research fellow will take a leading role in an EU-Africa research project, collaborating with Research Organisations, Academia, and Industry in South Africa, Switzerland, France