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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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relevant to cloud development (e.g., Python, Java, Go). Demonstrated ability to design and build secure, reliable and scalable systems. Excellent problem-solving, analytical, and critical thinking skills
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and quantitative data, and the ability to select the right approach for the context. Proficiency in Python, SQL, or R is advantageous but not essential. Experience working in the higher education sector
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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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and students at all levels and evidence of a commitment to equity and diversity principles. Experience with data analysis from large galaxy surveys using software such as R or Python. Demonstrated
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. Experience with data analysis from large galaxy surveys using software such as R or Python. Demonstrated skills in computer programming (e.g. R, Python, etc). Experience in the direct analysis of astronomical
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development in the following areas: Cyber Security and Cloud Technologies Artificial Intelligence and Data Science Programming (Python, Java, C/C++, Web) 4/ Demonstrated ability to prepare and deliver programs
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protocols in dynamic, containerised simulation environments. To be successful you will need: To be eligible or willing and able to become eligible to hold an Australian security clearance. Solid Python
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principles. The candidates must also be able to quickly grasp emerging trends in the relevant discipline. The candidate should be willing to work using different programming languages/frameworks such as Python
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines