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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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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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. Applications in all areas of research are welcome, but these should be aligned with UniSQ Flagship Areas . Each flagship scholarship offers an optional Industry Stream, which requires a mandatory 60-day industry
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. There is scope for the candidate to incorporate an additional related project that aligns with their own interests.
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on using traditional in vitro techniques and third generation sequencing long-read approaches to characterise the genetic structure of demethylase inhibitor (DMI) resistance in the grape powdery mildew
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interaction, with a focus on the qualities of the movement and interactions, collaborative navigation of shared space, aligning human robot body movement and shared weight and touch in collaborative movement
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aggregation of toxic proteins in the brain. The proteins tend to have similar sequences and physical properties making them more likely to aggregate. The protein open reading frame 6 (ORF6) from SARS-CoV-2 has
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by the University’s Environment Institute, in collaboration with South Australian community and government groups. The project supports and is aligned with the ReBird the Ranges initiative, an alliance
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or New Zealand citizenship, or Australian permanent resident status if applicable, or indication of international citizenship Degree certificates (testamurs) that evidence study in an aligned topic
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Synchrotron and the Super Photon Ring (SPring-8) Synchrotron in Japan, where our students also regularly conduct their own experiments. Project areas include: Colour (spectroscopic) X-ray imaging in multiple