251 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sydney
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and experience demonstrate effective management of diverse stakeholders and the ability to build productive relationships demonstrate ability to deal with high volume of data and accuracy in data entry
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for someone with amazing customer service skills—both in writing, over the phone, and in person—who is a great multitasker and quick learner with sound computer skills. This is a flexible role requiring
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and Client Technology is a senior leadership role within the University’s ICT Division. Reporting to the Chief Information and Digital Officer, the role is a key member of the ICT Executive Leadership
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Cognitive Neuroscience to conduct research within the Rideaux Lab, investigating the neural mechanisms underlying perception, cognition, and behaviour. They will design experiments, analyse data, publish
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the collection, analysis, interpretation and presentation of large and complex data proficient data analysis skills including problem solving, data gathering and analysis and reporting demonstrated high level of
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research activities and data collection, consulting with experts, and developing effective working relationships with research teams. Your key responsibilities will be to: develop effective working
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, monitoring, data acquisition and management, and statistical analysis. Our health economics, biostatistics, systematic reviews, and biomarker teams work with trial data to inform healthcare providers about
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, while always reflecting accurate data from university systems monitor and assess risk within the work area, drive initiatives to promote best practices in workplace health and safety and provide guidance
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submissions, amendments, and compliance reporting apply clinical and academic expertise to audit and interpret complex clinical data, ensuring accuracy and rigour in research findings design and develop
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-team and contribute to a clinical trial research project of national significance for youth mental health. The project applies modern data science methods to build explainable and integrated machine