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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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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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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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machine learning, multi-level complex data engineering, emerging technologies in transport and economics analysis. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing
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experience and understanding of survey development for sustainable travel behaviour (e.g., mode choice, choice experiment, theory of planned behaviour) and demand analysis. 6. Proven experience in successfully