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. Practical experience in scripting languages, for example R, python or bash Proven work experience in bioinformatics, statistics and/or data science relevant to proteomics and protein analysis, including using
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed
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. Ability to teach and lead programs in areas related to sport analytics, sport data capture, performance analysis, data science, applied statistics. Proficiency in R and/or Python. Demonstrated effectiveness
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research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever-changing and fast-paced sector. The position is funded by CAR, a
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, Prof Anton van den Hengel and his research team to publish research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever
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role. Ability to teach and lead programs in areas related to sport analytics, sport data capture, performance analysis, data science, applied statistics. Proficiency in R and/or Python. 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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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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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