74 parallel-computing-numerical-methods Fellowship positions in postdoctoral in Australia
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Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows Job No.: 690226 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration
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of fundamental discovery and real-world impact, the role offers opportunities to collaborate with quantum computing companies, application-domain partners, Queensland research institutions, and established experts
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position for up to 12 months Base salary will be in
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and application of atomic methods and computer codes for heavy many-electron atoms, ions, and exotic muonic atoms at the forefront of precision theory. This position offers exciting opportunities
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, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
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, stochastic modelling or a closely related quantitative discipline. Demonstrate strong expertise in stochastic optimisation, including experience applying advanced methods to complex modelling problems. Bring
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skills Advanced computational skills, including demonstrated ability to wrangle large text-based datasets and perform numerical simulations Our commitment to inclusion and diversity We are committed
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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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Alliance for Agriculture and Food Innovation, you will develop and apply advanced quantitative genetics methods to improve genomic prediction of complex traits in soybean. As part of the UQ-led ARC Training
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models