23 finite-element-analysis Fellowship positions at The University of Queensland in Australia
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modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
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, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish
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support of high-quality research outcomes at all stages of the project, including data collection and analysis, and dissemination of project results via research publications, conference presentations, and
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, psychometric validation, ethnographic methods, and interpretivist qualitative analysis. The successful candidate may be required to complete a number of pre-employment checks, including: right to work in
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to superconducting qubits. This includes experience with EBL, optical lithography, SEM, RIE, metal deposition, Experience in designing superconducting quantum circuits including qubits and resonators. Experience in
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favourably. Extensive expertise or strong interest in microbial biotechnology, particularly fermentation. Experience in bioinformatics, multi-omics data analysis (e.g., genomics, metagenomics), or systems
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, metabolomics, proteomics or developmental origins of human disease. Demonstrable experience and expertise in bioinformatics, statistics and analysis of large datasets, for example metagenomics, proteomics
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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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