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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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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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Conversations about Care . This project aims to co-design, implement, and evaluate "Conversations about Care": an interdisciplinary, multi-component intervention to support people with communication disability
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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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contributions to their discipline. They will have gained high-level experience with a research component through studying and researching in a number of different institutions, and have professional experience in
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total rem (pro rata) pa, including salary component $120,529 - $142,305 (pro rata) pa (Academic Level B - Research Fellow), employer contribution to superannuation and annual leave loading. Total
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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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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