44 computational-model-"INSAIT---The-Institute-for-Computer-Science" 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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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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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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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity If you are passionate about computational modelling, thrive on solving
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ecologists and modellers. Marine Spatial Ecology Lab (MSEL) is a dynamic group conducting world-leading coral reef research. MSEL’s portfolio spans reef ecology, ecosystem resilience, fisheries rebuilding
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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(CRISPR screens, Chromatin IP, ATAC-seq) and cellular biology (cell death mechanisms, immunology), and experience with animal models and organoid cultures. Position 3 will focus on Bioinformatics
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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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translation, including commercialisation of UQ intellectual property. Develop a coherent research program and an emerging research profile. Supervision and Researcher Development: Contribute to supervision
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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