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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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Remuneration: $37,145 (tax-free RTP stipend) For scholarship procedures and conditions, please see: https://www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures
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mathematical modelling excellent research capability and communication skills Candidates shortlisted from the EOI stage will be invited to discuss specific project ideas via Zoom prior to submitting a formal PhD
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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Neptune have thick outer envelopes composed of hydrogen-rich gas, whereas water worlds would be devoid of hydrogen. This project will focus on developing atmospheric models for ‘sub-Neptunes’ (planets
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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relevant discipline. Relevant disciplines include health economics, labour economics, economics, econometrics, and other quantitative fields such as data science, mathematical statistics, actuarial science
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PhD Scholarship Non-persistent rock discontinuities, rock bridges, and rock mass stability: numerical modelling and analysis. Water flow in rock discontinuities, discontinuity mismatching, and shear
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experience in the area of imaging, materials characterisation, physics, engineering, chemistry, mathematics, computer science, advanced manufacturing, or related fields.