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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.).While the position start date is flexible, the successful applicant must have completed
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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· Salary package: $112,550 - $120,621 (HEW A.6-A.8/ PhD awarded rate) plus 17% superannuation & annual leave loading · Full-time, fixed term appointment until April 2028 · Macquarie University
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and/or professional experience for level A. A PhD or equivalent in a relevant field for Level B. Demonstrated experience in supporting and delivering high-quality teaching and learning at least two of
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engaging learning experiences for students and driving real-world impact through their research. We are seeking candidates with expertise in making transportation systems efficient, reliable, affordable, and
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online by submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a
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Macquarie University’s strategic connections within the transport industry. The successful applicant will have a proven track record of creating engaging learning experiences for students and driving real