36 data "https:" "https:" "https:" "https:" "ASNR" positions at UNIVERSITY OF SYDNEY in Australia
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19 Jan 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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. Applications Close Sunday 01 February 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406393/lecturer-indigenous… Requirements Additional Information Work Location(s
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for this role. Applications Close Thursday 12 February 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406737/clinical-trials-pro… Requirements Additional Information
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10 Jan 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Biological sciences Researcher Profile Leading Researcher (R4) First Stage Researcher (R1) Country Australia
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20 Jan 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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coordinating the collection of data, including assisting other research staff with data entry and analysis assisting in presentations to clinical staff and other services to promote and provide information about
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professionals, and a diverse team of researchers and key stakeholders to complete a range of activities, such as survey development, data collection, interviews, qualitative data analysis and manuscript
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of project data and information, ensuring resources and documentation are available for internal/external teams and program reporting manage EPICC website and social media channels including LinkedIn and
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demonstrate computer literacy excellent collegiality across teaching and research. Sponsorship / work rights forAustralia Work Rights: you must have unrestricted work rights in Australia for the duration
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climate finance, financial regulation, fintech, labour and innovation finance, and household finance. FIN benefits from exceptional data access and deep methodological capability in large-scale data