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). Minimum of two years related experience. • Demonstrated skills in data management and programming using statistical packages (SAS and SQL and occasionally STATA and R); • Demonstrated knowledge
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constructive feedback, and strong organizational skills Passionate and clear about your own research interests Adept in running statistical analyses (e.g., Stata, R, SAS, MPlus) and/or in coding (e.g., Python
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) to genome-scale datasets · Extensive programming experience in R and/or Python (ideally both) · Strong writing, communication, and interpersonal skills, including a proven ability to work both independently
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Wednesday 25 June 2025 at 11.00pm AEST (R-51338). Please note that interviews have been
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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning
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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
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to talent@uq.edu.au for accessibility support or adjustments. Applications close Sunday 20th July at 11.00pm AEST (R-51416). Please note that interviews have been tentatively scheduled for 29th July.
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promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Monday, 9 June 2025 at 11.00pm AEST (R-51616). Please note that interviews have been