251 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Sydney in Australia
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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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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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to the design and development of research protocols, ensuring timely execution of research activities assisting with data collection and analysis, ensuring data quality and accuracy coordinating with the team
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management of data Base Salary $103,185 - $111,237 (pro rata) + 17% superannuation About the opportunity The Research Assistant will work closely with the main researchers on an exciting Discovery project
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, an outstanding collaborative research environment. Your key responsibilities will be to: conduct laboratory research and data analysis, making significant contributions to our understanding of brain metabolism and
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data to identify risks, and prepare clear findings and recommendations that inform organisational decision‑making. You will build strong partnerships with key stakeholders across HR, faculties, payroll
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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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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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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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activities assist with planning and coordinating assessment and exam operations to support positive outcomes for students and academics contribute to accurate data management, results processing, and record