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Closing Date: 11:59pm, Sunday 19 July 2026 Reference No: 225270 For further information about this position, please see the Position Statement below. To Apply Please submit the following documents by clicking the Apply Now button below: Your application should be comprised of: i. Covering...
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Brisbane location About This Opportunity Join UQ’s Children’s Health Research Centre and help shape the future of youth mental health through world leading research in statistical and psychiatric genetics
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undertake research in quantum algorithms, error correction, and fault-tolerant quantum computing architectures, with applications to decarbonisation. Based within the Queensland Quantum Decarbonisation
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Level A) Based at our vibrant and picturesque St Lucia Campus About This Opportunity Join a growing, collaborative research team developing innovative quantum algorithms for decarbonisation applications
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validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive
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algorithms into practical biopharmaceutical applications while remaining grounded in an academic environment that values rigour and publication. You'll be part of a multidisciplinary team, supported by
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supportive and inclusive team, you will contribute to globally relevant research that advances understanding of complex traits and diseases through innovative statistical genetics methodologies, while helping
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
the motivation of gender-fair insurance pricing. As appropriate, the Postdoctoral Fellow will also collaborate with other researchers to develop scalable computational algorithms and translate the proposed
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systems, using techniques from areas such as functional analysis, operator theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse