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specialized expertise in applications like SAP Business Objects, Power BI, Excel, and programming languages such as Python to collect, interpret, and analyse data. You will also support the development of new
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) An interest in AI/ML and multi-omics integration. Solid background in statistical genetics and computational biology; experience with R, Python, or equivalent programming languages is essential. Passion
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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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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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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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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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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