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Field
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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, sociology, or other relevant fields. Experience with analysis of large health science databases or studies Analysis experience in R, SAS, STATA or a similar statistical programming language Demonstrated
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AEST (Job Reference Number: R-51455).
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, random forests, etc.), and languages like R, Python, or Julia for health data analysis. Experience in backend/frontend development, data visualization, and web apps using JavaScript, Python, and Linux
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statistical software (e.g., SPSS, R, or SAS) and familiarity with research databases. Excellent communication and interpersonal skills are essential. High level of motivation, attention to detail, and a
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/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral communication skills Ability to work both
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expertise is preferred but for the right candidate can be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other
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be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral
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diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Thursday 29 May 2025 at 11.00pm AEST (Job Reference Number: R-49462).
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam