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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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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
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for this scholarship, applicants must: be Australian citizens, Australian permanent residents, or New Zealand special category visa holders (strict requirement). meet the entrance requirements for the Doctor
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instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine
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of the Hellenic Diaspora', curated by the La Trobe University Library. This collection reflects the migration of Greeks to Australia, especially in the post-WWII period (1950s and 1960s) In selecting successful
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typically 12 months based in Bayreuth, Germany. Projects will remain open until filled, and new opportunities will be posted below as they become available. Benefits of the scholarship a Research Training
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University campus, and willing to spend typically 12 months based in Sheffield, UK. Projects will remain open until filled, and new opportunities will be posted below as they become available. Benefits