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Please submit your CV and covering letter addressing the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. For further information about this position
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research ability in the economic analysis of illicit markets, financial crime, trade economics, or related areas, as evidenced by a strong record of data analysis, modelling, and scholarly publication. A
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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criteria from the Position Description below For further information about this position, please contact Barry Brook, Head of Discipline for Biological Sciences/Professor of Environmental Sustainability
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Information You are required to submit your CV and a Suitability Statement of no more than 3 pages, addressing the Key Position Capabilities of the Position Description. For more information regarding this
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data extraction and literature evaluation, with no laboratory work involved. You will help shape how animal model data is assessed and presented to ensure it is both transparent and useful to the wider
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activities including project management, stakeholder engagement, data collection and analysis, and the development of written outputs for both community organisations and peer-reviewed journals. The Research
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unique data collection opportunities, including large-scale agricultural household surveys, measurement experiments (such as DNA fingerprinting for plant variety identification), and impact studies
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within