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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
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recognised research track record in the target areas of neuro-symbolic and trustworthy AI. Proven ability to sustain and grow Research Groups and Centres through the attraction of external funding. Extensive
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to tighten/enhance controls will help reduce month end close cycle times, ensure adequate recognition of financial transactions and alignment with overall RMIT financial targets and strategy. To be successful
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will help you establish a track record relevant to the circular economy, sustainability and waste minimisation. It also provides a great opportunity to work with the Australian plant processing industry
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will help you establish a track record relevant to the circular economy, sustainability and waste minimisation. It also provides a great opportunity to work with the Australian plant processing industry
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improvement programs. Nationally recognised research track record including substantial record of research outputs in high quality outlets and emerging international recognition. Extensive experience in
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: Demonstrated ability to direct an award program/s and implement program improvements and innovative approaches to student-centred learning and quality improvement programs. Nationally recognised research track
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quality improvement programs. Nationally recognised research track record including substantial record of research outputs in high quality outlets and emerging international recognition in supply chain
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quality improvement programs. Nationally recognised research track record including substantial record of research outputs in high quality outlets in the field of AI, business analytics, and
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projects and theses at the postgraduate level in areas related to their areas of expertise, contribute to School, College, and University strategic plan targets in research and/or consultancy, and maintain