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PhD Project – Supervised and knowledge-guided machine learning approaches for quantifying and identifying microorganisms in water and wastewater treatment Job No.: 648559 Location: Clayton campus
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teaching experience or lab demonstration skills. Candidates are required to hold a PhD in Metallurgical Engineering, Chemical Engineering, Chemistry, Applied Chemistry, Materials Science or related field
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2024 RTP round - IoT framework for real-time monitoring and control for reused water fit-for-purpose
most of Asia-Pacific region and Africa. Water reuse is one of the ways to manage the rising water insecurity, particularly in the areas classified as water-scarce or drought driven. Wastewater treatment
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and the contact details of two referees. Prospective candidates will be invited to submit a full application for admission to the PhD Biomedical Science (DR227). Scholarship applications will only be