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vision or machine learning methods to biological data. Applicants should have good working knowledge of experimental design for welfare science and an interest in translating research into deployable
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: Research: Lead or contribute to the development of innovative statistical methods for analysing large-scale genomic and single-cell omics datasets, identifying causal genetic variation, and improving
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 10 hours ago
advantageous: Requesting, processing, and analysing passive-seismic data Programming skills (such as with Python or MATLAB) for data computation and visualisation Methods for imaging or probing the
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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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Research background in one or more of the following areas: deep-sea ecology, benthic ecology, community ecology, environmental impact assessments, risk assessments, Skills in ecological methods and
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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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B : Research: Lead or contribute to the development of innovative statistical methods for analysing large-scale genomic and single-cell omics datasets, identifying causal genetic variation, and
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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