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guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
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. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial applications. These new initiatives will be integrated into a state-wide
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with implementing these algorithms on fully error-corrected fault-tolerant quantum computers. About You The incumbent is expected to have relevant experience in developing quantum architectures, error
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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 imaging. Within our research
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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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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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to contemporary challenges while mentoring the next generation of leaders. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial
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experience in sensor technologies or IoT being highly desirable. A background/knowledge/passion in agricultural, environmental, or animal science relevant to the project focus will be desirable. Familiarity
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platforms). The successful candidate will contribute their unique skills in analysing complex data from RGB, hyperspectral or LiDAR sensors to extract information about plant structure, biochemical and
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Awareness (SSA), and connecting those capabilities to optical sensor capabilities via data fusion techniques. CIRA co-operates a dedicated SSA array with Australian company Nova Systems, based in South