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to innovative technologies that shape the future of autonomous finance. Build a powerful professional network, with cosupervision from both academic leaders and senior industry practitioners. Are you eligible
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 2 months ago
Institute is seeking a motivated and qualified candidate for a fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with experience in sensor
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sector. Opportunity to strengthen the professional network within the sustainability, AI, and building sectors. Eligibility: The PhD student must be: within the first 18 months of their candidature
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six globally networked campuses and international alliances across Asia and Europe. The applicant will be based at the Clayton campus in Melbourne and will have access to international mobility grants
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membership is an EMBL Partnership Programme established in 2010, entitled ‘EMBL Australia Partner Laboratory Network’ (PLN). The partnership aims to seed a dynamic, highly collaborative culture across
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply your expertise in power systems to enhance Australia’s evolving energy networks
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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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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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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