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faced by real people and creating a lasting impact. Join us and help to create a world that is more inclusive and equitable. If you are interested in undertaking a PhD with MATS and you meet the criteria
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PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. You will also receive an additional
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. The PhD project will contribute to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity
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Position overview:We invite highly motivated candidates to apply for a PhD position in Seismology at James Cook University (JCU), one of Australia’s leading research institutions located in tropical
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innovative digital solutions for a sustainable future. The successful applicant will need to meet Charles Sturt university and CSIRO Next generation Graduates program requirements for admission into the PhD
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. You will also receive either: an Australian Government Research Training Program (RTP) fees offset a QUT research degree (HDR) tuition fee scholarship. As the scholarship recipient, you will have the
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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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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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