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the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness
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energy projects. About 2XE 2XE is an award-winning South Australian consultancy committed to guiding companies towards sustainable growth and achieving net-zero emissions. Leveraging a robust blend of
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
conference attendance. Monash University is the largest university in Australia and regularly ranks in the top 100 universities worldwide. Monash has six globally networked campuses and international alliances
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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success for reactions that involve a net gain or loss of electrons: electrochemical reactions. These are an important class of reactions as they can be driven directly by renewable electricity, contributing
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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the demographic profiles and contact networks of the individual simulation model will be drawn from Virtual WA: a geospatial analysis platform built in-house by A/Prof Cameron and Camilo Vargas at The Kids. Student
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network New graduates Get involved Grow your knowledge Connect and engage at events Industry-leading alumni Indigenous Australian alumni Additional resources Alumni tools and FAQs Discounts and offers
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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such that non-credible contingency event impacts can be assessed presents many challenges including: Redispatch of network to reflect future forecast of demand and generation Modelling of future network