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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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relevant health or biomedical discipline · An interest in evidence-based medicine, rheumatology, epidemiology or clinical research · Strong analytical and communication skills · A
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-dependent process to a device-assisted platform by integrating zero-net-mass-flux synthetic jets, piezoelectric actuation and quantitative aerosol diagnostics into an adaptive soft-mist inhaler. Funded
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skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants should ensure they familiarise themselves with
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requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants should ensure
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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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in conventional imaging, and to access a complementary ‘dark-field’ signal that originates from tiny sample structures. We do this by designing and implementing novel experimental set-ups and
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requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at arts.monash.edu/graduate-research/application-process/ . Applicants should ensure