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potential to facilitate the process of generating health-related advice without the need for predefined rules or training data. Yet, their reliability remains a serious concern. This project aims to first
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to avoid system bottlenecks, and ensuring low-latency performance. Energy-Efficient Operations with Carbon-Aware Scheduling: Example: For non-urgent data processing, SmartScaleSys (S3) could prioritize tasks
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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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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Sciences. In this pivotal role, you will support the smooth and professional operation of the Faculty Office and work closely with senior leaders, including the Dean, Faculty Director, Heads of School and
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knowledge program analysis, fuzzing, software testing, natural language processing
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internal and external stakeholders. With a strong focus on process excellence and sound judgement, the Program Coordinator delivers timely advice and support to participating institutions, trainers and
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administrative and operational support within a structured compliance and mobilisation environment. You will support mobilisation, onboarding, and contractor compliance processes, ensuring accuracy, timeliness
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optimisation Large-scale data processing Intelligent and educational analytics Rather than replacing classical systems, the project will develop hybrid architectures where quantum components assist specific
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, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need