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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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Status: Open Applications open: 21/01/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship is funded
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4 years. Periods of study already undertaken towards the degree will be deducted from the period of tenure. Eligibility Students must be eligible under the universities PhD admission criteria in
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Scholarship China Scholarship Council - Visiting PhD Scholars Program Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 1
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Scholarship Computing and Information Systems PhD Scholarship Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 1 Oct 2025
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PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty / Portfolio: Faculty of Information Technology Location: Caulfield or Clayton campuses Duration: 3.5-year fixed-term appointment