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research teams, in particular post-doctoral staff working on water-related research funded by the AuSpire program as well as undertake supervision of research students. Extend the research performance and
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bioinformatics and computational biology, including the handling of large-scale genomic datasets. Expertise in the evaluation of novel predictive genomics methods, and experience with whole genome assembly
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statistical or analytical software (e.g. SPSS, R, SAS, STATA), and the effective use of standard computing and administrative tools. Highly developed interpersonal, communication, and collaboration skills, with
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and specimen preparation instruments (SEM, cryo-FIB-SEM, ultramicrotomy, etc). Monash researchers can also access a range of high-performance computing infrastructure. Applicants must hold a PhD (or
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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities
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bring: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as Computer science or Data Science (Data analytics and
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Agroecology Team, you’ll work with a multidisciplinary group of entomologists, geneticists, ecologists and industry partners—supported by world-class laboratories, high-performance computing and specialist