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at arts.monash.edu/graduate-research/application-process . Applicants should ensure they familiarise themselves with these requirements before deciding whether they should apply. Scholarship holders must be enrolled
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experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine
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I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and
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approach that ensures both stealth and functionality. This project proposes to develop Stealth Integrated Sensing and Communication (Stealth-ISAC), a paradigm where communication and sensing signals remain
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theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
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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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/graduate-research/application-process/ . Applicants should ensure they familiarise themselves with these requirements before deciding whether they should apply. Scholarship holders must be enrolled full-time
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of Arts are available at arts.monash.edu/graduate-research/application-process . Applicants should ensure they familiarise themselves with these requirements before deciding whether they should apply
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known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
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traction as a key tool for biodiversity monitoring. However, there remain significant challenges in its widespread uptake. This project will investigate the soundscape features that indicate intact and