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sensing, to improve worker/operator safety. This project will focus on using density functional theory calculations and ab initio molecular dynamics simulations. The project is a collaboration with Dr
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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
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objectives: Design and Testing of Biomimetic Microfluidic Systems: Utilize computational fluid dynamics (CFD) to design microfluidic layouts that replicate the diverse stenosis geometries observed in vivo
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According to the BIRS-RMIT program, students will receive a generous scholarship with nominal tuition fees from BITS, plus a full RMIT tuition fee scholarship, and stipend for the duration of your
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Services, who is the industry partner supporting this exciting R&D project. You will also enjoy a 12-week specialised training program that will enhance your industry engagement and collaboration skills
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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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Safety Products, from their Australian manufacturing facilities supporting this exciting R&D project. Receive continuous mentorship from the best in academia and industry. Enjoy a 12-week training program
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for students as required by the school and program Participate in school and program-related activities as required by the school and program OUR REQUIREMENTS Master’s Degree in Electronic & Computer Systems
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technological solutions for the recycling of waste heat in specific food industry settings, using computational fluid dynamics modelling, lab experiments and field work To disseminate finding in high impact
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at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT’s Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning