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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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. 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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). 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
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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