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, and SageMaker. Your expertise in data transformation languages such as SQL and Python will be essential in ensuring data quality, integrity, and adherence to established data governance standards. We
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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. This project will advance our understanding of the conditions that led to reef growth, stress, collapse, and recovery during periods of rapid climate and environmental change, spanning multiple spatial and
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recovery during periods of rapid climate and environmental change, spanning multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences
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multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences at the University of Sydney. The School of Geosciences is a dynamic, collegial
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foundation in data analysis and visualisation, demonstrated through experience with tools such as SQL, Python, or Power BI. Your background includes a university degree in a relevant field or equivalent
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
security for a community of more than 35 stakeholder organisation and 7000 active researchers. We are seeking a software developer with expert skills in Python-Django, or with similar web programming
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who translate complex business needs into effective and efficient cloud solutions. They are expected to be hands-on while also providing technical leadership and mentorship to multiple teams. About You
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to the technical lead of Cardiac AI. The successful candidate will have demonstrated experience in and be responsible for: Develop and oversee the development and maintenance of Python scripts to merge data extracts
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). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics