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. This internship is ideal for a PhD student in the early stages of their studies who is looking to expand their skills in nanoparticle formulation, microfluidics, and translational biotechnology within a dynamic
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understanding of gene presence/absence, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid
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AEMO’s annual General Power System Risk review AEMO must model the power system at a 5 year ahead time horizon. Modelling at this time horizon while accounting accurately for power system dynamics in PSSE
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