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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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will undergo an interview process. If supported to apply, you will then submit an expression of interest (EOI) following the advice at how to apply for a research degree . In your EOI, nominate Dr
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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, Nanomedicine, Radiochemistry, Tumour microenvironment research, Preclinical imaging and Translational oncology. You will be working within the Adelaide University’s Bioengineering group. The group is highly
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. The project will involve periods of intensive field measurements, laboratory work, and data processing. Field studies will be mainly carried out in south-east Queensland and south-west New South Wales
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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investigators at seven Australian institutions, 15 partner investigators worldwide, 33 partner organisations and over 100 HDR students and postdoctoral fellows. With almost $50M investment from the ARC and
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region., including 14 chief investigators at seven Australian institutions, 15 partner investigators worldwide, 33 partner organisations and over 100 HDR students and postdoctoral fellows. With almost $50M
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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information about the dielectric properties of the surface and can therefore be used to infer changes in soil moisture. A major focus of the PhD will be to develop, test and improve robust GNSS-IR processing