14 model-checking Fellowship research jobs at The University of Queensland in Australia
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) Based at our St Lucia Campus About This Opportunity We are seeking a Postdoctoral Research Fellow to join an ARC Linkage Project focused on advancing geomechanical modelling for underground CO₂ and H
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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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Researcher Development: Supervise students, model responsible research conduct, build researcher capability, facilitate engagement for supervisees, recruit and manage employees, provide performance feedback
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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outcomes to end users. Coordinate the upload and curation of at least 250 samples annually to the EarthBank platform and contribute to data model development and refinement. Teaching: Support EarthBank’s
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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
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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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discipline. An emerging profile in research in demography or a cognate area including statistical modelling of population process and dynamics. Evidence of publications in reputed refereed journals and
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record
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advanced research methodologies to enhance crop genetic gain in the face of climate change and variability. Working with multidisciplinary teams to integrate crop models in a predictive breeding framework