106 assistant-professor-and-human-centered-computing PhD positions at RMIT University
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, digital health, computer science, information systems, user experience design) Have strong social research
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School
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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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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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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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participating university PhD admission requirements. c) Meet university English language requirements. d) Not have previously completed a PhD. e) Be able to commence the Program in the year of the offer. f) Enrol
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The CSIRO Industry PhD Program is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims to produce the next generation
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the National Institutes of Health (NIH). It will employ cutting-edge computational approaches using Australian and American supercomputers, alongside single-particle cryo-electron microscopy and functional
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Michael Breedon at CSIRO and will involve working on the RMIT city campus and the CSIRO Clayton site. Reactive small molecules such as phosphine are commonly used industrially as fumigants to eliminate
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision