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Master of Applied Econometrics PHD Pathway Scholarship Sir John Monash Scholarship for Excellence Are you passionate about econometric model building, estimation and forecasting for economic
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where the target person appears to be performing actions or speaking as the source person. In a broader...
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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of mobile ringtones. Traditional machine learning methods and transformer models will be used to learn patterns from audio signals and classify ringtones into predefined categories (e.g., default ringtones
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Monash University-Vietnam Government PhD Scholarship (Project 89) This joint scholarship program supports high-achieving Vietnamese candidates to undertake a PhD at Monash University. Applicants can
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Monash University - Museums Victoria PhD Research Scholarship The Robert Blackwood partnership is a collaboration between Monash University and Museums Victoria to encourage and facilitate new
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MD-PhD Industry Leaders Scholarship (for returning MD-PhD students) Industry Leaders Scholarship This scholarship is awarded to Monash University medical students who have demonstrated a commitment
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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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