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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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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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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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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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for disease prevention and control. ODeSI has extensive experience in operational research and field surveys (including international projects), predictive risk mapping and modelling (spatial epidemiology
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ