257 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Sydney
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research and translation programs in substance use and mental disorders. The Matilda Centre brings together researchers in broad fields to share skills, integrate data, and harness new technologies
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The Payroll Officer will be responsible for a broad range of data entry and payroll related activities which will contribute to efficient payroll operations and service delivery. You will respond to enquiries
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. Strong planning, organisational, computer literacy, and interpersonal skills, with the ability to manage competing priorities effectively. Sponsorship / work rights for Australia You must have unrestricted
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compulsory employment checks prior to starting in this position. For more information and instructions, please visit:NSW Health employment requirements This position is designated as involving child-related
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documentation, data analytics, publication processes and administrative operations that enable the effective delivery of research outcomes. The role requires strong analytical capability, research administration
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. The Matilda Centre brings together world-leading researchers, clinicians, people with lived experience, and the community to share skills, synergise data, harness new technologies and trial innovative programs
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the intervention) lead and support data collection, analysis and manuscript preparation manage the research budget collaborate with clinical and research team members present research findings through publications
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; system testing and preparing test scripts. Coordinate with the team to produce quality reports, verify data accuracy within university systems, and actively engage in compliance initiatives to uphold
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with complex CRM. Salesforce preferred has exceptional organisational and time-management skills, including the ability to prioritise and work within often very tight deadlines has a high degree of data
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physiology and medicine to contribute to research strategy measure physiological and structural variables within cardiovascular and related functions, managing and analysing data, statistical analysis