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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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with a research team. Applicants must have strong statistical modelling skills using R. You will have experience of a range of relevant statistical techniques, potentially including mixed effects models
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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Wednesday 16th July 2025 at 11.00pm AEST (R-52492). Please note that interviews have
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, statistics, computational biology, or a related field; Strong programming skills in one of the traditional programming or scripting languages (R/Python/C++); Experience working in a Linux environment; A strong
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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments. Strong ability
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coding expertise (e.g., Python, R, JavaScript) to customize and integrate AI tools, build APIs, and create technical solutions for marketing challenges. Collect research data; this may be through a variety
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value: • Experience in Arctic biology, plant ecology, or experimental studies. • Proficiency in one or more relevant programming or scripting languages (e.g., Bash, R, Python) for data processing
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proven ability using statistical software for managing and analysing data using STATA/SAS/R. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and
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. Advanced training in early Infant assessments (GMA, MOS-R, HINE, ASQ, ASQ-TRAC, BSID) An emerging profile in research in the area of early detection and intervention for babies with Cerebral Palsy