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Status: Open Applications open: 14/08/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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Engineering. Familiarity with partial differential equations (PDEs) numerical analysis and / or data science and statistics will be an advantage. Number of scholarships: One Contact person: Associate Professor
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systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. How to apply To apply, please ensure you have digital
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. The research outcomes are expected to provide actionable insights to inform industry policy, workplace practices, and road safety strategies nationwide. The PhD will be supervised by Associate Professor Sjaan
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to work at the frontier of agricultural science and data-driven innovation. The successful candidate will have the opportunity to co-design the focus of this research project. Potential areas
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: Level 1, 43-51 Kanooka Grove, Clayton (Monash Health Translation Precinct) Employment Type: Full-time Duration: 3-year fixed-term appointment Supervisory Team: Associate Professor Cheryce Harrison
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countries to customers such as global government, business and corporate, NGOs, aid and humanitarian organisations, security and military groups, public safety, emergency response, broadcast and consumer
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current and past research experience/project (if any). Academic transcripts. Language proficiency results Research Proposal The contact information of two referees. Do take note that the scholarship does
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Top-up Scholarship The intention of this scholarship is to provide financial assistance to encourage today’s young researchers working in the field of renewable energy, including those in search
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Akuru’s i-triage system, an AI-assisted tool that supports early clinical categorisation by analysing presenting complaints and risk factors to suggest urgency, disposition, and next-step pathways