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PhD Scholarship Opportunity: Monash University Accident Research Centre - Driver Health Study Job No: 684883 Location: Clayton Campus Employment Type: Full-time Duration: 3.5 years fixed-term
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. We also collaborate closely with researchers at CERN and at Fermilab, and with our LHCb colleagues through the Monash-Warwick Alliance in Particle Physics. Joint projects with an LHCb focus
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for pregnant women with a culturally and linguistically diverse background. Your research will be part of a large collaborative project between Monash University and Monash Health. You will be based within
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We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, etc.), you will have a strong...
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translate complex mission briefs and regulations into rigorous, traceable, regulator-ready requirements. The candidate will join an interdisciplinary community at Monash University spanning computing, systems
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-time Duration: 3-year fixed-term appointment Remuneration: $37,145 p.a. pro rata tax exempt stipend The Opportunity Monash University is offering a fully funded PhD scholarship including support for
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supervised by academics in one of these three faculties. Monash University provides Indigenous students with unique professional development opportunities that combine academic growth, industry engagement, and
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. Monash is one of the top 50 universities in the world, ranked top in health economics in the Asia-Pacific region. As a PhD student of the Centre, you will be part of a team of researchers at the cutting
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We are recruiting a PhD student with a start date of January 2026. The successful student will join our Monash (Melbourne, Australia) - Warwick (UK) Alliance on the intersection of sustainable
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artificial intelligence, Monash University’s Faculty of Arts has launched a scholarship opportunity for an aspiring researcher to study generative artificial intelligence using a hands-on approach. Monash Arts