338 computer-security "https:" "https:" "https:" "https:" "University of Kent" uni jobs at Monash University
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them using data extracted from software repositories. This fine-tuning process aims to enable the models...
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Grace Kang Global Assist Grant The Grace Kang Global Assist Grant is introduced to support coursework students who participate in an overseas study program as part of their Monash degree. Total
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educational disadvantage and wish to contribute to the community. You will become a mentor to students from under-represented schools as part of the Access Monash Mentoring Program, giving you the opportunity
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, influencing our broader modelling and program design. Drive Excellence Across Projects and Teams You’ll bring strong project leadership, analytical capability and organisational acumen—ensuring research is
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. Participating in an overseas study program . This excludes the Global Immersion Guarantee. Living with a disability or medical condition. You must be registered with Disability Support Services . Benefits $3,000
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students entering the Bachelor of Commerce (Honours) program majoring in Marketing at Monash University. This scholarship provides financial support to full-time students, awarded on the basis of academic
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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You must meet the following criteria: Hold or about to complete an undergraduate degree or equivalent qualification recognised for admission to the Monash Juris Doctor Program. Intend to enrol
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure Advisory System, or data from other implantable or wearable devices. This involves consideration of both...