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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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Criteria For further information about this position, please see the Position Description hyperlinked below or contact Distinguished Professor Xinghuo Yu via email xinghuo.yu@rmit.edu.au For further
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journal publications, conference presentations, technical reports) in relevant fields. Data Analysis and Interpretation: High-level ability to analyse and interpret experimental or simulation data to inform
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information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless
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with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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qualitative and/or quantitative methods, and literacy in interpreting quantitative findings. Experience in working with survey data or other quantitative datasets is desirable but not essential. Proven