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to apply. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please contact A/Prof Mahsa Baktashmotlagh m.baktashmotlagh@uq.edu.au
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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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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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scoring framework to establish sophisticated classification algorithms that drive marketing and sales qualification motions and the necessary workflows that enable an automated lead management Advance
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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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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track record of industry engagement and method development If you need additional information about the role, please contact Prof William Rickard (JdLC Director) at: w.rickard@curtin.edu.au Role
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Prof Zongping Shao’s research lab, and are also available in WA School of Mines (WASM). The proposed research is strongly aligned with the hydrogen energy technology research at WASM. The success
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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