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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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26 Aug 2026 Job Information Organisation/Company Adelaide University Department Future Industries Institute Research Field Technology » Medical technology Engineering » Biomedical engineering
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approaches for multi-frequency and multi-constellation observations. This may include signal selection and quality control, low-elevation satellite arc processing, spectral analysis, reflector-height
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This PhD would suit a motivated candidate with a strong background in sport and exercise science, exercise physiology, biomedical science, human physiology or a closely related field. Previous experience in
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of cancer An interest in translating laboratory research into clinically useful outcomes A willingness to develop skills across complementary scientific and biomedical disciplines Strong written and verbal
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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