245 electronics-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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at increased risk is important for timely intervention, preventive care and improved clinical outcomes. The increasing availability of electronic health records, clinical measurements and longitudinal patient
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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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. The increasing availability of electronic health records, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML
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each year (subject to suitable applicants) one in the Humanities and Social Sciences (HASS) disciplines one in the Science, Technology, Engineering and Mathematics (STEM) disciplines Selection criteria
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, stakeholder engagement and research outputs. We are seeking someone with a doctoral qualification in data science, computer science, biomedical engineering, statistics or a related quantitative discipline, or
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of mathematical and computational methods for scientific and engineering problems arising in areas such as climate science, physics, and the life sciences. Applications must be made via the Monash University portal.
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. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Relevance, quality and achievability of projects to the Monash-Museums Victoria collaborative research
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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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[email protected] in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background
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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