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materials. Evidence of publications in high-quality peer-reviewed journals and presentations at major conferences. Proficiency in data analysis and relevant tools (e.g. Python, MATLAB, WSxM, Gwyddion). Strong
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applications, leveraging technologies such as Velocity, VueJS, React, Java, and Python on UQ’s high-performance and cloud computing systems. You’ll collaborate closely with scientists to create user-friendly
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using both R and Python Develop and conduct complex statistical analysis plans for research studies, including the application of statistical analysis techniques such as regression, text mining, topic
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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Data Commons of Australia (LDaCA ) project. The role requires advanced data transformation and coding skills in a research context and the incumbent will be working in Python, R, Javascript, SQL and
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healthcare datasets, such as MIMIC, EHRs, or other health information systems. Proficiency in SQL, Python, or other programming languages used for data manipulation and ETL processes. Experience with cloud
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with significant relevant experience, or an equivalent combination of education and experience. Strong programming skills in backend Python and Java applications, as well as frontend JavaScript
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, with experience in Linux environments and automation tools. Proficient in programming and scripting languages such as Python, Perl, C, Go, and Bash. Strong problem-solving abilities with a proactive
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, such as Python and MATLAB (by MathWorks), for data analysis, simulation, and automation tasks. The successful candidate may be required to complete a number of pre-employment checks, including: right
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experience Proficiency in Python programming and experience with databases, SQL, and data modelling Demonstrated experience developing data pipelines and ETL processes using tools such as Apache Airflow