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and apply quantitative, computational and AI-enabled approaches to materials characterisation, data analysis and scientific discovery · collaborate with multidisciplinary research teams, industry
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, including patient engagement, co-design activities, data collection, analysis and dissemination of findings. Your key responsibilities will be to: Coordinate and manage day-to-day delivery of the SICKMEDS
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, data-analysis and reproducible-workflow skills strong research publication, communication and collaboration record appropriate to career stage. The following experience will be highly regarded
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polymeric materials and hydrogels using contemporary synthetic methodologies analyse and interpret experimental data and prepare manuscripts for publication in peer-reviewed journals contribute
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currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis
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, NDSS) expertise in causal analysis techniques and/or security telemetry data analysis experience contributing to industry or open-source cybersecurity projects (preferred but not essential) excellent
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will contribute to the design and conduct of clinical trials, consumer and stakeholder co-design, implementation activities, data analysis, and dissemination of research findings. There will be
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laboratory characterisation of astrophotonic components, including designing robust experimental procedures and analysis of data contribute to novel data analysis and/or instrument control code, leveraging
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will contribute to the design and conduct of clinical trials, consumer and stakeholder co-design, implementation activities, data analysis, and dissemination of research findings. There will be
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data. Lead the preparation of high impact scientific publications. We look forward to hearing from applicants who have demonstrated excellence in their past research, possess the technical skills