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initiatives, please visit https://www.curtin.edu.au/about/values-vision-strategy/diversity-equity/gender-equity-and-inclusion/ We are an energetic, dedicated team of academics and professionals working together
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational
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the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do. About the
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teaching equip the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do
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for someone who can work 3 days a week – we are flexible on the days. The position is hybrid (cannot be fully remote). Who You Are: We are looking for someone who is aligned with UNSW’s vision and values and
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hearing care. This role supports a high-impact research program focused on addressing the unmet needs of adults with hearing loss through data-driven policy, service innovation, and community-based
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to the world's greatest challenges and helping us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new
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passionate and dedicated Post-doctoral Research Fellow for a Level B research-only position. This role is part of an exciting project titled "The Dynamics of Agricultural Innovation in North India." As a
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the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven