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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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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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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
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Resume and Application letter to Prof. Asgar Farahnaky: asgar.farahnaky@rmit.edu.au High quality applicants with relevant background to email their Resume and Application letter to Prof. Asgar Farahnaky
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experience or publications in materials science, chemistry, nanotechnology, catalysis, battery, supercapacitor, and/or clean energy. Prof. Tianyi Ma, School of Science, RMIT University, Email: tianyi.ma
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Outstanding academic records in undergraduate and master study (GPA >＝ 80) Previous scientific paper publication experience Please send your CV, transcripts to Prof. Tianyi Ma: tianyi.ma@rmit.edu.au Mr Yang Fu
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and verbal communication skills Strong computational, programming, algorithms, and data analysis skills Outstanding research skills Capacity to work independently and as a part of a team Applicants with