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conditional on completion of the Monash LLB or JD units to the pathway stage of the program) and enrol in one of the following approved international pathway programs: Bachelor of Civil Law or Masters in Law
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benchmarked against standard manual approaches. In addition to a topped-up PhD scholarship under the AI for Mental Health Next Gen program, Crank intends to hire the full-time PhD student in a part-time role
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time. Our Faculty of Information Technolog y is globally recognised (ranked #40 in Data Science & AI, QS 2025 and #61 in Computer Science, Times Higher Education 2025), with our DSAI department leading
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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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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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Senior Engineer – Data Warehouse Development Job No.: 684248 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $120,138 - $132,610 pa HEW Level 08 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our...
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Transition Program. **To be eligible you must provide a Confirmation of Aboriginal and/or Torres Strait Islander Heritage certificate or a certified Statutory Declaration form to the William Cooper Institute
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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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relevant fields of specialisation for this appointment are operations research, operations management, or a closely related discipline with strong computational and/or mathematical skills with expertise in
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Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models...