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(working as part of a team), and attention to detail. Experience in programming multiple languages (Python, MATLAB, Simulink, C++, VBA, etc) Some experience in developing machine learning models Demonstrated
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, as well as using your initiative to manage multiple projects and prioritise workloads. As the successful candidate, you will also demonstrate: Completion of minimum 4 years of tertiary study and
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 22 hours ago
Canberra has multiple locations in the Nation’s Capital. UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours
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capable of working independently and in a team, as well as using your initiative to manage multiple projects and prioritise workloads. As the successful candidate, you will also demonstrate: Completion
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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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. 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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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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telephone, remote desktop access and face-to face communication. You will join an established highly regarded team of professionals who consistently provide amazing service and client support across multiple
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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