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AMMETIS[1] (AI-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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project. These datasets will combine information from high-resolution experiments (HR-DIC, HR-EBSD, nanoindentation mapping) and large-scale numerical simulations performed using advanced FFT-based crystal
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, geothermal heat, and industrial waste heat all play critical roles. One promising solution for harnessing these energy sources is the supercritical CO2 (sCO2) Brayton cycle, which offers high thermodynamic
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of four years; gain knowledge of the field through literature survey, discussion with team members, and internal lab meetings; contribute to the design of experiments and perform experiments; analyse and
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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robots and their handling of food products. This represents a challenging area for robotics, where the raw materials have a high degree of variation (size, shape), as well as being easily damaged. Further
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, you will gain access to the high-performance computing (HPC) facilities at QUT.
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-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced characterization
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of 79Se radioisotopes. Selenium-79 is a by-product of nuclear power plant activity. Although produced in small quantities, it poses a serious environmental problem due to its long half-life (0.28 Ma), high
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on high-resolution cryo-electron microscopy to determine the structures of lipidic alpha-synuclein (αSyn) amyloid fibrils. The aggregation of αSyn as well as its interaction with lipid membranes play a key