90 data "https:" "https:" "https:" "https:" "Inserm" positions at La Trobe University
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with a range of Australian competitive grant schemes. Excellent written and verbal communication skills, including the ability to transfer clear and concise information to stakeholders, and the ability
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analysts to gather a diverse range of information across the university, through contact with researchers and academic leadership to provide analysis and insight. The Research Performance Analyst will
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– Please click on the video link below: https://f.io/KDo0ceng LTU Masterplan https://youtu.be/VIDo4IoDD0k Benefits We offer a wide range of benefits and entitlements to staff members at La Trobe. Click HERE
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superannuation. On-site child care. Staff and family study discounts. Access to inspiring campuses and a supportive, inclusive community. http://www.latrobe.edu.au/jobs/working/benefits Why La Trobe? At La Trobe
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-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts of LGBTQ+ community-controlled
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tasks which may include but are not limited to: Timely and accurate collection of a range of data Providing executive support to School Committees Supporting the recruitment of casual staff Desktop
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link below: https://www.youtube.com/watch?v=w-NZBy693Go Benefits 17% employer contributed superannuation On site childcare facilities Flexible work arrangements Discounts for staff and their family
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communications. Please refer to the Position Description for other duties, skills and experience required for this position. Welcome to Bundoora campus – Please click on the video link below: https://f.io/KDo0ceng
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outcomes, this role ensures consistent delivery of high-quality academic support while maintaining systematic, data-driven approaches to student success. The Coordinator oversees a substantial cohort of
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple