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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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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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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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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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Fatigue My Partner in Care Medical Toggle Sub Navigation Complications of IBD Medication for IBD Surgery Remission Colonoscopy Intestinal ultrasound for IBD Gut Microbiome and IBD Vaccinations and IBD
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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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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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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
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governance processes, including ethics submissions, amendments, trial registration, and compliance with data governance and institutional requirements · contribute clinical insight, drawing on intensive