204 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions at University of New South Wales
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. UNSW partners with Australia’s leading diversity organisations, networks, and campaigns. Please refer to UNSW’s diversity offerings for further information on our flexible work and leave options, and
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Pre-employment checks required for this position The University reserves the right not to proceed with any appointment. If you require any further information regarding the role, please contact s.crooks
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loading payments 10 days paid cultural leave per year Additional 3 days of leave over Christmas period Discounts and entitlements (retail, education, fitness) More information on the great staff benefits
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Procurement leadership agenda and continuous improvement of procurement practices across the University. For more information regarding the responsibilities for this role, please refer to the Position
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qualification and experience working on projects. • Experience in the project life cycle and proven ability in the development of project plans, objectives and documentation. • Extensive computer literacy and
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 2 months ago
to commencement in this role. The checks that will be undertaken are listed in the Position Description. You will not be required to provide any further documentation or information regarding the checks until
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reporting and tracking systems You will bring: Experience supporting fundraising, advancement or stakeholder engagement Strong coordination and documentation skills Ability to synthesise complex information
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collaboration with team members and the Head, Student Learning, develop promotional plans for initiatives Identify, collect and present data and draft reports. About You: Relevant tertiary qualification with
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and verbal communication skills, including the ability to convey complex information and influence senior stakeholders. High level of computer literacy, particularly in Microsoft Office and database
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likelihood estimators, as well as experience in estimating labour supply models and models of wage dynamics. Ability to work with large datasets, particularly panel and cross section data sets of the types