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relevant area of mathematics or theoretical computer science. Demonstrated expert knowledge in asymptotic, algorithmic or probabilistic combinatorics, or a closely related area Demonstrated high level
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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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active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage of the unique opportunities the QDA provides
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, you will contribute cutting-edge R&D including algorithm design and sensor fusion system designs, while using technologies such as computer vision, lidar, time-of-flight, radar, accelerometers, and
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at Griffith University. We are seeking applicants with active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage
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and practices of advertising, branding, and promotional communication in digital environments; • issues of trust or ethics raised by algorithmic governance, automated media and communication systems
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expertise by developing an e-commerce website prototype with the developed algorithm embedded within the prototype, ensuring its full functionality and integration. Reports to: Project Lead Project name
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare
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. Maintain a strong understanding of developments in computer hardware, software systems and algorithms where they apply to data science. As a member of the University community, demonstrate the highest