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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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prior experience in planning and conducting mixed-method research projects, statistical and qualitative data analysis and academic writing are encouraged to apply. Interested applicants are advised
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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The project will involve critical analysis of existing academic literature, participatory and co-design with users, development of novel technology prototypes, and evaluation using qualitative and
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or computer science. Applicants should contact Associate Professor Ibrahim Khalil via ibrahim.khalil@rmit.edu.au and Professor Xun Yi xun.yi@rmit.edu.au with the following information to discuss eligibility: A
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polymer science. Problem solving skills/experience in applied chemistry, mechanical or electrical engineering. For further information, please contact A/Prof. Ken Chiang (E: Ken.Chiang@rmit.edu.au
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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This scholarship, with the Computational Biophysics Group in the RMIT's School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, digital health, computer science, information systems, user experience design) Have strong social research
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humanities, computer science, information systems, user experience design, game design) Have strong social research (quantitative/qualitative) AND/OR computing design and analysis skills Provide evidence of