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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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validation of advanced algorithms for disease detection, contributing to Australia’s data-driven crop health monitoring systems. This work will support sustainable crop production and enhance national
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for these fellowships will normally be expected to meet the following eligibility criteria: A track record of proven academic excellence, such as a PhD or first class Honours (or equivalent). Completion
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looking for - Selection Criteria: Applicants for these fellowships will normally be expected to meet the following eligibility criteria: A track record of proven academic excellence, such as a PhD or first
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Status: Closed Applications open: 20/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information PhD candidates at ACSPRI Member
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record