595 software-verification-computer-science-"TCAT-Jacksboro" positions at Monash University
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator-prey simulations, the evolution of cooperation and altruism, the evolution of niches
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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services to the Monash Sport community, including but not limited to provision of core services to members, including taking a professional and innovative approach to individual program design and diligent
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The Opportunity Are you an experienced technology legal professional looking for a rewarding opportunity to make a significant impact in the education sector? We are seeking a commercial Senior Lawyer with deep
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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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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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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The detection of human activities is crucial for effective monitoring purposes. The challenge lies in accurately and promptly identifying various types of activities from videos and images captured in diverse, real-world environments. Both classical machine learning methods and deep learning...