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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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multidisciplinary team alongside clinicians and staff specialists who provide practical, real-world insights and expert guidance to support the interpretation and analysis of complex data. Associate Professor Mei
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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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in Polymer Chemistry, Chemistry, Materials Science or a closely related discipline demonstrated experience in polymer synthesis, characterisation and materials analysis a strong publication record
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knowledge gaps relevant to the Quality Use of Medicines, and use findings to inform study design, analysis and interpretation. Undertake data collection, data management and data analysis, including
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of advanced engineering alloys investigate processing-microstructure-property relationships using advanced materials characterisation techniques conduct microstructural, crystallographic and chemical analysis
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for stability analysis. The project will investigate connections between the Maslov index and the Evans function, develop methods for systems with multiple timescales, and apply these techniques
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researchers to design, develop, and evaluate novel approaches to Endpoint Detection and Response (EDR), threat investigation, and causal analysis of audit logs and event telemetry. The successful candidate will
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. Excellent oral and written communication skills. Ability for analytical thinking and independent problem solving. Desirable Experience with imaging insect interactions and the analysis thereof using tracker