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Australian citizen or Permanent Resident, or a New Zealand citizen. Meet university English language requirements. Not have previously completed a PhD. Be able to commence the Program in the year of the offer
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, such as a research masters or honours year to meet the selection requirements into the doctoral program (see Monash University PhD entry requirements ) Be enrolling full-time and on campus Not already hold
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This Scholarshipis offered to support a full-time PhD student commencing doctoral research in Managing Supply Chain Resilience and Sustainability in Industry 5.0. The Ph.D. project explores a
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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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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PhD Scholarship - Integrated Thermochemical Conversion of Lignocellulosic Biomass for High-Value Chemicals and Fuel-Grade Bio-Slurry Job No.: 685952 Location: Clayton campus Faculty / Portfolio
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PhD Scholarships in Climate and/or Environmental Change Job No.: 683855 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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PhD Opportunity This project will involve epidemiologic analysis of Flu-Tracking to explore how symptoms of acute respiratory infection have changed over time, who is most impacted, and where