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or data to inform research outcomes. Proven skills in study design and data collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and
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systematic reviews and/or environmental scans, including the ability to critically evaluate and synthesise relevant literature or data to inform research outcomes. Proven skills in study design and data
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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models. Demonstrated experience in data analysis and visualization, particularly with environmental time-series data. Proven success at establishing and developing internal and external partnerships
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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data (e.g. metagenomics and metatransctripomics) and knowledge of bioinformatic processing and analysis of large meta/multi-omics datasets. Demonstrated ability to work collaboratively within a multi
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to apply For more information on eligibility criteria and how to apply, see the MS Research Australia website . About the scholarship MS Research Australia offers a range of grants, fellowships and