290 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Sydney
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Full time, 2 year fixed term opportunity Utilise your expertise to provide support for Human Resource Workforce Systems users across the University through ensuring usability, data integrity
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administrative and clerical support to the designated work area. You will act as a first point of contact, manage the flow of information, maintain accurate records, and use your sound procedural knowledge and
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support systems · assist on AI‑enabled clinical decision support projects, including examining how clinicians use AI in real clinical contexts · undertake qualitative and quantitative data
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faculties, schools, professional service units and student groups to deliver programs that are inclusive, data-informed and aligned to University strategy. Guided by the Student Journey and Engagement
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for partnership and collaboration, and respond to the current and future needs of both internal and external clients. demonstrated ability to understand clients’ information needs, guide them in formulating
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information and instructions, please visit: NSW Health employment requirements EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place
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systems related to curriculum and teaching administration Demonstrate strong computer literacy and proficiency in MS Office specifically MS Excel Excellent planning and organisational skills, with a focus
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the student has already held the scholarship up to a maximum duration of 5 years. 8. Privacy a. Personal information about recipients collected by the University will be managed in accordance with
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initiatives within the CRE in Human Factors and AI-enabled Clinical Decision Support · coordinate the collation, analysis and preparation of CRE data, documentation and research materials, ensuring all
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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with