10 evolutionary-algorithm-"Prof" Fellowship positions at The University of Queensland in Australia
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, population-level empirical tests, and simulation modelling to explore the evolutionary roles of nutrition, reproductive investment, sexual conflict, and competition in the development of Semel parity in males
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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 , stating the job reference number (below) in
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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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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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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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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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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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, please contact Prof Andrew Whittaker a.whittaker@uq.edu.au For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work