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                to $5,000. Amount: Up to $5,000 Duration: One-off Quantity: Multiple Eligibility and selection criteria Eligibility To be considered for this scholarship, you must: Be confirmed as a PhD candidate in the 
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                your thesis You may apply for and receive multiple Science Abroad Travelling Scholarships but the total payment over the course of their candidature may not exceed $2,000. *Important Note: Graduate 
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                at Monash is multidisciplinary, spans multiple campuses globally and involves partnerships with industry and institutions worldwide. The Faculty is organised into three departments - Data Science & Artificial 
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                by the University’s Environment Institute, in collaboration with South Australian community and government groups. The project supports and is aligned with the ReBird the Ranges initiative, an alliance 
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                research proposal, detailing the project you wish to undertake and how it aligns to this scholarship scheme a statement of a maximum of two pages, indicating how you feel you align with an under-represented 
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                build a roadmap ensuring Australian digital industries understand inclusive design pathways, aligning with the Australian Disability Strategy 2021-2031 and UN Convention commitments. Research proposals 
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                Synchrotron and the Super Photon Ring (SPring-8) Synchrotron in Japan, where our students also regularly conduct their own experiments. Project areas include: Colour (spectroscopic) X-ray imaging in multiple 
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                assessed by the following criteria: academic record and research achievement relative to opportunity research environment and supervisory team research project and strategic alignment (projects that aim 
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                future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface 
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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