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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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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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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time, fixed-term position for 2 years Base salary will range from $114,824 - $136,048 + 17% Superannuation (Academic Level B) Based
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Duration: 12 months Position Summary: We are seeking a postdoctoral fellow to join our team and contribute to research in phytomanagement and phytoremediation of mining waste. This position is part
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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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Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects Base Salary $109,263 - $121,054 + 17% superannuation About
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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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reputable journals and conference proceedings in Communication and HCI. Proficiency in quantitative/statistical analysis and computational techniques (e.g., NLP, data mining). Experience conducting mixed