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Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Join a research program advancing trustworthy AI collaboration through the development of novel neuro-symbolic AI
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, the position will work closely with the principal investigator to support a growing computational microbiome research program. The position will develop, implement and apply bioinformatics approaches to analyse
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calorimetry, experimental evolution studies, phylogenetically informed statistical analysis of comparative data compiled from the literature and/or collected using experimental studies, and the ability
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observational transient group, the national OzGrav Centre of Excellence transients working group, and international collaborators in supernova physics, stellar evolution, nucleosynthesis, and multi-messenger
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to research and development for the future LHCb Upgrade II or experiments at a future electron–positron collider, including emerging detector technologies such as SiPMs for single-photon timing measurements
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defined research projects while building your independent academic profile. Key Responsibilities: Investigate the growth, physical properties, thin films, and optoelectronic device development of 2D metal
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Contribute to ethics submissions, manuscript preparation, and data analysis Assist in systematic reviews and grant development What you’ll bring: An honours degree or higher in a biomedical, allied health, or
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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be in support of a project to develop and demonstrate micro-scale intracranial probes to sense the extremely small magnetic fields resulting from the currents flowing along nerve cells due to brain
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims