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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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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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Status: Open Applications open: 23/06/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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project within an NHMRC-funded program focused on dementia research. Using a systems biology framework, the project will integrate genomic and lifestyle data to identify key molecular pathways and risk
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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team tackling major challenges facing the world’s population in global sustainability and wellbeing as part of the QUEX Institute. The joint PhD programme provides a fantastic opportunity for the most
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applications in timing and biology, quantum circuits and quantum computing. Projects will be available at the University of Adelaide, RMIT and the University of Queensland. Eligibility: Applicants must be
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What you'll receive You'll receive a stipend of $32,192 per annum for a maximum duration of three and a half years while undertaking a QUT PhD. The duration includes an extension of up to six months
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What you'll receive You'll receive a stipend of $32,192 per annum for a maximum duration of three and a half years while undertaking a QUT PhD. The duration includes an extension of up to six months
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trail experts, and computational scientists. It is highly likely completion of PhD will lead to post-Doctorate research opportunities on data science and statistical modelling as either an extension or a