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investigates how to adapt, modify, and optimize decentralized nature-based solutions (NbS) and green-grey hybrid infrastructure—encompassing sanitation, drainage, and flood mitigation. The candidate will address
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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology
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it. This gives rise to many questions around AIs influence on social cohesion, the nature of knowledge production and education, cultural advancement, geopolitical challenges, national security, trust
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energy systems and understanding how communities engage with energy, Monash Energy Institute creates knowledge and innovation that has both regional and global impact. To learn more about this important
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check the minimum entry requirements for the PhD . Applicants must also satisfy Monash’s English Language Proficiency requirements; Demonstrate knowledge of machine learning, medical image analysis
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learning frameworks such as PyTorch (required) Knowledge of neural networks, transformers, and representation learning techniques (desirable) Experience in time-series modelling, biosignal analysis
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Research. A PhD at Monash connects you with leading researchers in the field, ensures access to high quality research platforms and equips you with the skills and knowledge to make a substantial impact. A
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. Applicants are required to submit a brief research proposal outlining their area of interest and how they intend to advance knowledge in human-animal supports. Selection criteria: Prospective applicants must