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An opportunity for two talented students to undertake their PhDs on two projects that concentrate on developing differentially private approaches and blockchain-based solutions for privacy
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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providing tailored research experiences, mentorship opportunities, and financial support, this program seeks to nurture Indigenous Australian talent in engineering, architecture and the built environment, and
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) Computing and information systems (0) Engineering (29) Architecture and built environment (11) Agriculture and environmental studies (15) Health services and support (50) Medicine (50) Nursing (47) Pharmacy
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running an effective research program aligned with School of Architecture, Design and Planning’s key research areas. Key responsibilities will include: Teaching: Contribute to developing new Urban Planning
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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leave Fantastic professional and career development opportunities Up to 26 weeks (six months) paid parental leave Access to an Employee Assistance Program and Fitness Passport Position Requirements
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research program that supports or complements existing research strengths in the School of Architecture and Built Environment Demonstrated track record in high-quality teaching within quantity surveying and
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Computer Science, Electrical Engineering, or a related field. A PhD is highly desirable; candidates with a master’s or bachelor’s degree must demonstrate equivalent research or industry experience. Strong