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to close this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Prof Carl Spandler School
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Developer contributes to the development of repositories and related applications to manage ecosystem data. The role will work very closely with other TERN members distributed across the country and work
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and
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data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease progression, and identifying patterns in imaging data
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applications to manage ecosystem data. The role will work very closely with other TERN members distributed across the country and to solve technical challenges and mentor junior staff as and when required. TERN
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in Adelaide, South Australia for the duration of the award. Application process: To apply, please email the following documents to principal supervisor Prof Pavel Bedrikovetski (pavel.bedrikovetski