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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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. Questions? For more information about this opportunity, please contact Prof Michael Yu - c.yu@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au
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, please contact A/Prof Alain Wuethrich via email to a.wuethrich@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au , stating the job reference number
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: Research: Development and validation of predictive maintenance algorithms for solar farms. Interface with industry partners for knowledge sharing and feedback. Play a key role in reporting to the funding
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Transformation of Carbon Dioxide (GETCO₂). Under the leadership of A/Prof Christopher Leonardi and Dr Travis Mitchell, the CML has built a 10-year track record of impactful collaboration with major industry
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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Filled For further information For a confidential discussion regarding this position, contact: Assoc. Prof. Damien Fordham University of Adelaide damien.fordham@adelaide.edu.au Prof. Barry Brook University
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distributions. Demonstrated experience in characterising changes in the chemical or physico-chemical properties of biological components (preferably food), as a result of physical, chemical or biological
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for this appointment. Questions? For more information about this opportunity, please contact Prof Andrew Whittaker a.whittaker@uq.edu.au For application inquiries, please reach out to the Talent Acquisition team
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and