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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants should ensure they familiarise themselves with
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requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process/ . Applicants should ensure
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requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at arts.monash.edu/graduate-research/application-process/ . Applicants should ensure
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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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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