689 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Monash University
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Identifying vulnerabilities in real-world applications is challenging. Currently, static analysis tools are concerned with false positives; runtime detection tools are free of false positives but
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment
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of Australia’s leading pharmaceutical research institutes and contribute to a globally significant research initiative. The Monash Institute of Pharmaceutical Sciences (MIPS) is seeking multiple Level A Research
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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The Koto Dream Scholarship Achieving Potential International Scholarship The Koto Dream Scholarship is designed to support outstanding Know One, Teaching One (KOTO) alumni who demonstrate strong
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
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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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Department of Economics Honours Merit Scholarship Sir John Monash Scholarship for Excellence This scholarship is awarded to high achieving students who enter into the Bachelor of Commerce (Honours
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ambition and leadership qualities in the field of Electrical and Computer Systems Engineering. The scholarship is provided by former Monash University Chancellor Mr Jerry K Ellis and Mrs Ann Ellis, and is
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications