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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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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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PhD (AQF10) in psychology or related field. Experience using subject administrative systems effectively, including timetabling, learning management systems, results reporting, and student record systems
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engagement. Provide constructive feedback and support to students, ensuring their success in diverse environments. Skills & Experience PhD or postgraduate qualification with relevant professional experience
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will work as part of a collaborative team, working closely with fellow postdoctoral researchers and PhD candidates across ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS) and other
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experience in one or more of: paediatric speech and language, linguistics, voice, adult developmental disability, literacy across the lifespan, First Nations’ health, or swallowing across the lifespan. PhD
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into policy and practice Foster a culture of collaboration, innovation, and continuous development within the Institute. Skills & Experience: A PhD and substantial research experience in areas relevant to AIPCA