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: Regular Time Type: Full time Rate Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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statistical models, with the support of project supervisors. Support writing of research outputs for academic and lay audiences, and contribute to the development and running of stakeholder engagement
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. Additional Information Duration: 2-3 years (renewable yearly). Extensions are also allowable, pending satisfactory performance. For questions regarding the position, please email Arvind Rao at ukarvind
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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 this
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, will take a leadership role in the development of a multi-strain Streptococcus pyogenes computational transmission model, calibration of the model to data and integration of the model into a novel
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language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI reserach, including multi-modal LLMs. Background in AI
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and