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(TASC) program of the ARC Industrial Transformation Research Hub for Intelligent Contaminant-Sensing in Complex Environments (IC-SensE). The TASCprogram explores consumer and workforce adoption of sensor
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them The Opportunity Join the Department of Data Science and Artificial Intelligence as a Research Fellow and play a leading role in advancing artificial intelligence research for healthcare
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equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed
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and artificial intelligence. Reporting to the Technical Lead of CardiacAI , the role will contribute to the development, validation and evaluation of predictive algorithms, clinical decision-support
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interactions, and environmental stimuli, with applications in wearable technologies, intelligent sensing systems, human–machine interfaces, healthcare monitoring, and soft robotics. Key responsibilities include
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partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence (AI) in Medical Innovation (ACAMI). Established in 2024, ACAMI is a collaborative research, clinical trials
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partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence (AI) in Medical Innovation (ACAMI). Established in 2024, ACAMI is a collaborative research, clinical trials
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for Artificial Intelligence (AI) in Medical Innovation (ACAMI). Established in 2024, ACAMI is a collaborative research, clinical trials and workforce development centre operating at the intersection of AI and
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high-profile research initiative exploring how artificial intelligence is reshaping work and leadership in professional knowledge work. You'll collaborate with leading industry partners including
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Age (QWiDA) . This is an exciting new national research centre focused on the implications of digital technologies, such as Artificial Intelligence (AI) on the quality of work. QWiDA brings together