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. This opportunity is designed for an ambitious researcher seeking to establish an independent research program and transition towards leading their own laboratory within the next five years. Working within a
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estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming or quantum-software tools, such as Python
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8,000 students across all our courses. Within the faculty, the School of Engineering brings together researchers and educators across electronics, mechanical and mechatronic, civil, software and
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8,000 students across all our courses. Within the faculty, the School of Engineering brings together researchers and educators across electronics, mechanical and mechatronic, civil, software and
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Join an exciting research program as a Postdoctoral Research Fellow, investigating how digital e-auctions can improve agricultural market performance in Lao PDR and Cambodia. You will contribute
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at major conferences. Demonstrated high-level mathematical skills. Demonstrated high-level skills in computer programming and software development, including a track record of developing, maintaining, and
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outcomes into practical tools, software, prototypes, workflows and partner-facing applications. Duties at this level: Conduct and contribute to high-quality research in AI-enabled medical, biomedical
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(TASC) program of the ARC Industrial Transformation Research Hub for Intelligent Contaminant-Sensing in Complex Environments (IC-SensE). The TASCprogram explores consumer and workforce adoption of sensor
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contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity You will lead statistical and computational
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations