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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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successful in this position, you’ll have: A Master or Honours degree in Computer Science related field Demonstrated expertise in ML, with significant experience in designing and implementing large-scale models
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models. Both domestic and international travel may be required as part of this role for data collection and participation in workshops, conferences and symposia to communicate research findings. To be
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-college To Apply 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
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on the ‘Apply’ link at the top of this page. Please indicate in your cover letter for which position you are applying for. For further information about this position, please see the Position Description
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/womeninstemm To Apply Please submit your CV, covering letter and response to the key selection criteria for this position by clicking on the ‘Apply’ link at the top of this page. For further information about
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on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Dr Sara Long (Senior Research Fellow) via email sara.long
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at the top of this page. Applicants must have unrestricted working rights. Visa sponsorship is not available for this position. For further information about this position, please see the Position Description
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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education in Vietnam and beyond. More information about The Business School can be found here Position summary The Research Fellow will develop, plan and deliver research in accordance with assigned research