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of English proficiency may be required. The project will provide numerous research and development opportunities including: Development of phenomenological and CFD models for aeration systems of sewage
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TJ Thomson at t.j.thomson@rmit.edu.au to lodge an expression of interest for this scholarship. The PhD Scholarship is attached to the Australian Research Council-funded project, DE230101233
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materials. This scholarship is valued at up to $33826 per annum for three years with a possible six-month extension. This scholarship is valued at up to $33826 per annum for three years with a possible six
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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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qualitative and quantitative methods relevant to understanding socio-ecological systems Strong interpersonal and communication skills An ability to work collaboratively and productively as part of a team
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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The scholarship is for young talents who want to pursue a career in renewable energy and advanced materials. The candidates will do experimental work in materials synthesis, characterisation and
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technology and the science and technology of atomic clocks. You will learn about the applications of this technology in defence and civilian applications and will see how advanced technology is created and
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industry experience in building distributed systems/applications will be preferred. To be eligible for this scholarship you must: Have a Master by Research degree; or a Master by Coursework degree with a
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This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work