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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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to demonstrate results on formulating and testing different fair routing policies in route recommendation ADMs, their software, algorithms, and models, are often designed as “black boxes” with little effort placed
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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" (with Prof Kris Helmerson) "High-bandwidth continuous magnetic sensing of an ensemble of electric spins" (with Prof Kris Helmerson) "Developing a spatially sensitive optical magnetometer catheter probe
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for the scholarship. Please contact A/Prof (andy.song@rmit.edu.au ) with your CV, academic transcripts, and an initial short paragraph of what aspect of AI for food and waste systems you might be interested in. Please
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Veluswamy (ganesh.veluswamy@rmit.edu.au ) or Prof. Kalpit Shah (kalpit.shah@rmit.edu.au ); Provide a CV that includes any publications and the contact details of 2 referees; an electronic copy of your
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with leading researchers in glass science/engineering and diffraction physics/crystallography in Australia and around the world. "Local structure and symmetry in metallic glasses" (with Assoc Prof Scott
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The scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the School of Science CAMIC Laboratory. The project is a collaboration with Assoc. Prof Ravi Shukla to test
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enrolment requirement. Open to Domestic and International Students. Standard RMIT PhD enrolment requirement. Open to Domestic and International Students. All applicants should email the following to Prof