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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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via RMIT University application portal. Apply via RMIT University application portal. Potential candidates must have a good hold of distributed software systems, machine learning and cybersecurity
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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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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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, including global warming, shifting climates, eutrophication, habitat loss and fragmentation, and shifting disturbance regimes. Both the distribution and abundance of organisms, which are fundamental
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clearly outlining your experience in developing distributed systems/applications; also important to list any publications, awards, and relevant professional experience English language proficiency 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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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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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