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projects Designing for complex or high-consequence systems Human-centred product, service, or interaction design in healthcare, defence, or critical infrastructure Applied human-computer interaction or
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. You will also receive either: an Australian Government Research Training Program (RTP) fees offset a QUT research degree (HDR) tuition fee scholarship. As the scholarship recipient, you will have the
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Scholarship base Merit Based Value CSIRO shall award the student an iPhD Program Scholarship annually (GST exempt), starting at $35,000 (2025 rate), indexed at 3% annually, for a maximum of 4 years. This is
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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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forward for a School-funded scholarship. Expertise in Human-Computer Interaction and Human-Centred Computing. Interest in Human-Centred AI and Social Computing. Aspiration to publish in leading venues
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transformation in the delivery of Australia’s Opioid Dependence Treatment Program (ODTP) is underway. Reforms commencing in the second half of 2023 will dramatically reduce the costs of treatment. In collaboration
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This scholarship, with the Computational Biophysics Group in the RMIT's School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer
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-centric innovations, we aim to build a resilient agricultural and environmental future. Central to this effort is our AgriTwins program (a part of the CSIRO Next Generation Graduates Programs ), a
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Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise surgical techniques and improve implant longevity. Using finite element modelling (FEM) to simulate...
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vibration characteristic identification. This project will investigate digital twins techniques aided by computer vision based measurement. Aims This project develops computer vision-assisted digital twin