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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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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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, 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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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
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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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to work within the Pyrometallurgy Innovation Laboratory. This position will be responsible for undertaking integrated high temperature experimental and thermodynamic modelling studies of metallurgical
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of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human