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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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relative to opportunities when assessing suitability for the role. Applications close Sunday 27 July 2025 at 11.00pm AEST (R-53948). Please note that interviews have been tentatively scheduled for the week
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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00
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Python, R, or similar Excellent analytical and problem-solving skills Ability to work both independently and collaboratively in a team Previous research experience and publication record in a related field
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activities are conducted at its central facility, with additional support provided by satellite laboratories at the University of California at Berkeley (USA), Toyota Central R&D Lab., and ISAS at the Japanese
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-related disciplines Demonstrate solid foundation in statistical analysis (e.g., SPSS, R, STATA) Desired: prior experience in systematic review and evidence synthesis Desired: prior research experience in
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analysis, including GWAS, Genomic SEM, EWAS, bioannotation, and/or polygenic scoring analyses Experience with R and Bash programming in high-performance computing environments Familiarity with study-related
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research experience and track record in R&D Prior experience in state-of-the-art AI techniques. Leadership in climate transformation Self-driven, highly motivated, with interest to work with other
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R