50 processor-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CSIC" positions at Monash University
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PhD Scholarship Opportunity: Secure Quantum Computation on Shared Quantum Processors Job No.: 699200 Location: Clayton campus Melbourne Employment Type: Full-time Duration: The scholarship may be
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will develop efficient quantum compiler methods to bridge the gap between quantum algorithms and their execution on quantum processors. The project will develop innovative quantum software components and
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Presence is the subjective feeling of "being there" that differentiates virtual reality (VR) systems from other forms of computer interfaces, and has long been thought to be beneficial in
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. Depending on the candidate's background and research direction, approaches may include computer vision, representation learning, graph neural networks, multimodal learning and scientific machine learning. A
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science; Biotechnology Project funding Project based
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leading Law and Human-Computer Interaction researchers at Monash University. The project aims to bring advances in human-computer interaction to the forefront of online justice systems. We will centre
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explored through touch. The RTD is the blind person's equivalent of the computer visual display. The second is genAI-powered conversational agents. These enable the blind user to control the RTD and obtain
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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-level computer literacy and adaptiveness in learning new software tools. The capacity to work effectively both independently and as part of a collaborative team. About Monash University At Monash , work
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at developing methodological contributions at the intersection of computer vision, multimodal learning, predictive world models, embodied AI, and human-robot interaction. The candidate will work towards models