35 model-driven-engineering Fellowship positions at The University of Queensland in Australia
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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projects and participate in applications for competitive research funding; contribute to progressing towards transfer of knowledge, technology and practices to research end users through translation
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control and quantum chip manufacturing. NQCT will include a large team of interdisciplinary researchers in quantum sciences and technology with ample opportunities for scientific growth and collaboration
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researchers in quantum sciences and technology with ample opportunities for scientific growth and collaboration with both academia and industry. As Quantum Engineer/Research Fellow for the National Quantum
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control and quantum chip manufacturing. NQCT will include a large team of interdisciplinary researchers in quantum sciences and technology with ample opportunities for scientific growth and collaboration
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School of Mechanical and Mining Engineering - Faculty of EAIT Full-time, fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation
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completion of a PhD in geomechanics, energy engineering, geophysics, and/or geodynamics. An established record of scientific achievements in geomechanics and geomechanical numerical modelling, including
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research team focused on advancing sustainable livestock feed through applied plant biotechnology, tissue culture, and physiology. The role offers a mix of laboratory, glasshouse, and data-driven work in a
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essential, mathematical theory frequently suggests its value is low. This misalignment creates a gap between modelling and practice. The research will focus on developing new theory to explain why
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures