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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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, retaining, and promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Wednesday 25th June 2025 at 11.00pm AEST (R-52323).
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programming (e.g., R, Python). Strong record of peer-reviewed publications in plant science or related fields. Excellent communication skills and ability to work in a collaborative, interdisciplinary team
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or related discipline area. Experience and skills in coding and running analyses in R, and quantitative modelling to address scientific questions in evolution. Broad background knowledge of vertebrate
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R, Mplus, SAS, or Stata considered an asset Experience with community-engaged projects preferred Demonstrated understanding of and/or ability to work with marginalized youth, including immigrants and
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, 25th June 2025 at 11.00pm AEST (R-52304). Please note that interviews have been tentatively scheduled for shortly after.
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., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage. • Field or laboratory
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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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Skills: Strong analytical skills and demonstrated experience with statistical programing in R. Experience using geospatial data for landscape-scale research. Experience with Species Distribution Modelling
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 29 days ago
discipline by the appointment start. Proficiency in both quantitative and qualitative data collection and research methods. Experience using quantitative (e.g., R, SPSS, or Stata) and qualitative analytic