69 software-engineering-model-driven-engineering-phd-position PhD positions at Monash University
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environmental health economics ; economic behaviour, incentives and preferences in health ; and, economic modelling of health policies and technologies . Employment prospects PhD graduates from the Centre
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PhD Scholarship in History Job No.: 684435 Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Remuneration: The successful applicant will receive a
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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two
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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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My research explores ways to determine the atomic architecture of materials so we can understand and manipulate a material’s behaviour. At the atomic level, amazing and beautiful quantum phenomena can occur that are very different to the macroscopic world. Our group develops methods to measure...
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PhD Scholarship - Movement Metrics for Physical Health Job No.: 682825 Location: Clayton Campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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the physics major Periodically driven many-body systems Research Profile For further details or alternative project arrangements, please contact: anna.phillips@monash.edu.
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I study galaxies and active galactic nuclei, endeavouring to understand how galaxies grow, what regulates star formation within galaxies and what triggers active galactic nuclei. My students and I use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from...
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful