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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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of modern biostatistical methods relevant to the specific projects funding the position. Assist in delivering high-quality postgraduate seminars and workshops in biostatistics. Engage in professional
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of participatory research methods that shape the future of healthcare delivery and policy. In this role, you will collaborate with esteemed researchers nationally and internationally, advance impactful clinical
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-ray scientist to spearhead advancements in X-ray based methods for real time analysis, including X-ray diffraction and X-ray fluorescence. The successful candidate will join the X-ray Technologies group
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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 remuneration valued
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-reviewed journal articles. The successful applicant will have two key attributes: Strong track record in Computational Fluid Dynamics and application of numerical modelling methods, and A track record in
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the design of complex research experiments, under supervision of senior staff. Set up equipment and perform non-routine experiments/techniques requiring advanced knowledge/skills. Assist scientific method
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 16 days ago
-manufacturing and industry-compatible techniques for metal deposition. Requires advanced skills in electrodes micro/nano-fabrication and characterisation. Demonstrated experience in screen printing, including
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] Subject Areas: Omics, R Software, mixOmics, R package, mathematical and statistical characterization, statistical methods Appl Deadline: 2025/07/21 11:59PM ** (posted 2025/06/19, listed until 2025/07/21