260 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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conventional perception pipelines towards AI systems that can observe, remember, anticipate, and act. The project will examine questions around multimodal representation learning, temporal modelling, predictive
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requirements continuously evolve. This project investigates self-evolving agentic AI systems, i.e., adaptive AI agents that can continually acquire new knowledge, reorganise their collaboration structures, and
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
these engagements will be integrated with outputs from advanced AI models (e.g.,geospatial deep learning, graph neural networks, and explainable AI ) to refine the AMR risk maps and ensure local relevance. Required
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materials discovery with cutting-edge high-throughput platforms, robotics, machine learning, and autonomous experimental workflows. Access World-Class Facilities: Based in the Department of Chemical and
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energy availability, electricity prices, charging infrastructure and battery status. It will explore spatiotemporal data management, optimisation and machine learning techniques for individual EVs
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program, supporting a high-quality student learning experience within a contemporary medical education environment. The position will contribute to the design and implementation of high-quality assessment
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The Professional Experience Lead Coordinator will play a key role in delivering employability, Work-Integrated Learning (WIL) and placement initiatives. Working closely with the Associate Dean, Professional Pathways
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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our renowned clinical sites, state-of-the art moot court, and contemporary, student-centred learning environments. The Research Fellow will be based in the Warren Centre for Civil Justice. As the
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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and