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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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sales targets whilst ensuring accurate and careful maintenance of a CRM database. To be successful in this position, you’ll have: Demonstrated experience working as a proactive and collaborative team
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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student recruitment for new English language programs—including General English, Fast Track University Pathways, and online short courses. Your efforts will directly support the implementation and growth
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sales targets whilst ensuring accurate and careful maintenance of a CRM database. To be successful in this position, you’ll have: Demonstrated experience working as a proactive and collaborative team
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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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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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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