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Australian Prostate Cancer Foundation (ACRF) Single Cell Proteomic Laboratory. The successful candidate should have a PhD in bioinformatics, computational biology, cancer genomics or a related field with
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science or mechanical/chemical/computer engineering or related area digital twin and systems engineering, with the ability to model, simulate, and optimise complex manufacturing processes industrial
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process on the micro-pilot scale to improve efficiency and product quality. About you PhD in data science or mechanical/chemical/computer engineering or related area digital twin and systems engineering
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computer literacy and proficiency in using various research and administrative software applications, that may include Microsoft Suite, REDCap, SPSS and other relevant data analytic software excellent