299 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sydney
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2 x Full time, continuing roles in the Advanced Analytics, Planning & Enterprise Data team Be part of a diverse, agile, and fun team, advancing AI capability and produce high‑value analytics using
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Join the University's ICT Data and Integration Services team as an experienced Integration Developer - ETL in this 12-month fixed-term opportunity Design, develop and optimise enterprise ETL/ELT and
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comprehensive assessments and evidence-based interventions for children and families undertake data analysis, interpretation and reporting to inform research findings and operational decision-making. About you
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analyse, synthesise, and interpret complex research data to support publications, presentations, and future research funding opportunities develop and refine independent research skills under
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, and in person—who is a great multitasker and quick learner with sound computer skills. You'll report to the HR Team Leader while potentially being cross skilled across other Shared Services Teams
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, the appointee will coordinate the research aspects of the project from protocol development and ethics approval through to field implementation and data management. Your key responsibilities will be to: Develop
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processes including assessments, examinations, special consideration, prizes, scholarships, results processing and student evaluations gather and analyse routine data to support reporting, operational
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continuous monitoring of AI services in production. Working closely with product, delivery and technical teams, as well as key stakeholders across ICT, Legal, Privacy and data stewardship functions, you will
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, commission and operate experimental test systems, integrating electrochemical devices with fluid-handling equipment, instrumentation and data acquisition. Plan and conduct electrochemical experiments
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Postdoctoral Research Associate in spatial omics, artificial intelligence and computational pathology. The role will develop and apply computational methods for analysing kidney biopsy data, integrating