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promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close 19 May 2025 at 11.00pm AEST (R-48133). Please note that interviews have been tentatively
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analysis with other complementary methodologies, such as structural MRI/DTI, EEG/ERP, eye tracking, and/or psychophysiology. Scripting and programming skills (e.g., R). Evidence of independence in fMRI
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to work independently and collaboratively in multidisciplinary teams Desired qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput
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quantitative research skills Familiarity with the statistical programming language R Fluent oral and written communication skills in English The following qualifications are not required but will give applicants
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software such as R, MPlus, etc.) 5. Demonstrated experience with dissemination (i.e., writing publications and/or presenting at conferences/workshops) 6. Demonstrated strong verbal and interpersonal
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software such as R, MPlus, etc.) 5. Demonstrated experience with dissemination (i.e., writing publications and/or presenting at conferences/workshops) 6. Demonstrated strong verbal and interpersonal
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Police (3) Adv Educ in General Dentistry (2) Advancement (2) Advancement Services (2) Alumni Affairs & Constituent R (2) Athletics (2) Benefits (2) Biochemistry (2) Chemical & Biochemical Engrg (2) Child
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statistical analysis and software (e.g., Stata or R). Have experience with causally focused epidemiological or econometric methods. Demonstrate a track record of attracting research funding. Show commitment
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statistical analysis knowledge. Preferred Qualifications Experience in Cardiology or Congenital Heart Disease clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience
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improve health and wellbeing • Strong quantitative skills in data analysis using R, Stata, Python or similar software and ability to summarise results using clear, concise and relevant tables and graphs