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research about the use and impact of technology in home learning environments and pre-schools, very little is known about the role other settings (e.g playgrounds, libraries, museums,) as major contributors
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The Australian Research Council (ARC) Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA) is seeking applications for ten ARC fully-funded PhD projects
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leadership role in IT. Demonstrated capability in leading strategic digital technology planning aligned to whole‑of‑organisation goals, with a strong track record of digital transformation and cultural change
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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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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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the ability to lead and develop teams, manage stakeholders, and communicate complex technical information effectively, alongside experience with digital engineering and facilities management systems. A
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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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Technical Services team, supporting classes in areas such as Biomedical Sciences, Nursing, Paramedicine, Chemistry, Microbiology and Healthcare Science. This is a great opportunity for someone who thrives in
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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