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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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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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on the functional reorganisation of language processing in individuals with post-stroke aphasia, under the mentorship of Stephen M. Wilson, PhD. In this role, you will have the opportunity to lead analyses of
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prototype testing, and field demonstration, partnering closely with industry to deliver contracted research outcomes that address real engineering challenges. Over the three-year appointment, you will build
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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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sustainable, electrified alternative to the Haber-Bosch process. You will design hybrid catalyst systems (heterogeneous and homogeneous), engineer innovative electrochemical reactors, and pioneer radical
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Digital Media : Interaction design, Animation, Digital imaging, Sound Design Studies: Graphics, Spatial Concepts, Illustration, User Experience Design Game Design : Game Design Studio, Coding Unity, C
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-associated omic features, with the ultimate goal of defining the underlining ancestral contribution. The successful candidate should have a PhD in Population genomics and statistical applications, with a
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Australian Prostate Cancer Foundation (ACRF) Single Cell Proteomic Laboratory. The successful candidate should have a PhD in bioinformatics, computational biology, cancer genomics or a related field with