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), Be an Australian resident or citizen or meet English requirements of the University Interested candidates are to contact Dr. Veluswamy (Ganesh.Veluswamy@rmit.edu.au ) and Prof. Kalpit (kalpit.shah
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on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Prof. Lola Akin Ojelabi via email lola.akinojelabi
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published (not essential), to Prof Reza Hoseinnezhad (rezah@rmit.edu.au ). Please send your latest CV and full transcript of bachelor and master degrees (if applicable) along with a copy of any papers you may
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computer vision and machine learning methods and adapt new algorithms to automate inspection procedures of PV plants. Given the data captured by a remotely operated drone, we first investigate the required
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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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by clicking on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Prof. Paul Childerhouse via email
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this page. For further information about this position, please see the Position Description hyperlinked below or contact Prof. Huan Vo-Tran via email huan.vo-tran@rmit.edu.au . Position Description
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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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. 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 contact
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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