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biology methods. The results will be used to characterise the prevalence and dissemination of antimicrobial resistance. The overall aim is to contribute to improved diagnostics, treatment, and
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experimental and bioinformatics methods to combine experimental and clinical data to explain how viruses establish infection and interact with their host environment. More specifically, various
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health promotion methods, but also a passion for research, community engagement, and collaborative problem-solving. Experience in, and a thorough understanding of, government and policy processes would
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materials, metal casting, friction-based processing, cryogenic testing, thermal cycling, ion irradiation, or other advanced characterisation methods would be advantageous. Equality, diversity and inclusion
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a strong publication record relative to career stage in high-quality peer-reviewed journals experience using relevant analytical techniques such as NMR, SEC, DSC, DMA, rheology or related methods
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other higher professional qualifications in related fields (e.g., neuroscience) experience in quantitative methods relevant to immune science experience in clinical research with strong data analytic
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researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 23 hours ago
life of the School and will work closely with ANU researchers, technical staff and BHP collaborators. A successful candidate will have extensive knowledge in experimental petrology methods including 1
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microkinetic modelling (such as CatMAP or custom Python implementations) experience with constant-potential simulations, explicit-solvent methods, ab initio molecular dynamics or electrochemical-interface
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complementary characterisation techniques such as TEM, SEM, EBSD and XRD, and the analysis of complex materials datasets · proficiency in quantitative analysis, computational methods and