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advanced statistical and computational methods publish findings, present at conferences, and contribute to grants, ethics submissions, and research reporting build collaborations, translate research into
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project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining. The project will focus on automated distributional shift
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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 16 hours ago
data computation and visualisation Methods for imaging or probing the Earth’s upper mantle, in particular using receiver functions Prior experience of working with large datasets (e.g. from continental
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days 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