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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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Completion or near completion of a PhD in Engineering (mechanical, aerospace, civil, petroleum) or Science (applied physics, applied mathematics) with a strong background in CFD and the finite element method
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into practice. The Associate Research Fellow will be responsible for supporting the implementation and analysis of the quantitative (survey) component of the Australian Research Council funded Discovery Project
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world transitions to more sustainable energy, increased metal demand combined with consumer desires for a reduced environmental footprint, means novel exploration techniques are being investigated. As part of
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research related to a new proposed iron/steelmaking route with specific focus on slag properties and slag-liquid metal reactions for high temperature processing. The fellow will be involved in planning
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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to the position, including linking data across different sources, data management and manipulation, data analysis, and preparation of statistical result reports. Collaborate in enhancing the quality
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involved in the design, execution and analysis of studies investigating the mechanisms and potential treatment of motor neuron disease. You will perform and oversee work relating to the development and use
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, the Professor of Primary Care and System Integration, and key industry partners including the National Multidisciplinary Primary Care Research, Policy and Advocacy Consortium. The role involves in-depth analysis
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development and to conduct large-scale re-analysis of existing and emerging eDNA metabarcoding datasets obtained in Australian coastal waters. Your high-level duties will include: Conduct large-scale analysis