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-time (35 hours week), Continuing (permanent) position Hybrid/Flexible working arrangements Research Analysis, Data and Reporting (RADAR) is a dedicated unit established to support the goal
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: 1 Mar 2026 The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites
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Researchers need to apply for Study Away if travelling for research-related activities away from the University. Submit an application Status: Open for applications The information listed here is subject to
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in data process and analisys in alignment with research protocols and environmental conditions. Support high-throughput research – Apply advanced phenotyping techniques and assist with designing
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: Bridging the Lab–Life Gap . This project will use groundbreaking methods to assess the cognitive function of older adults in real world scenarios in a manner previously considered intractable. The data will
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to detail in the analysis of numerical information and data is key to see you succeed, balanced with the ability to provide effective and efficient advice to customer queries. You will be a strong team player
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 5 hours ago
University accessing your student records for the purposes of assessing and administering the payment Consent to Charles Sturt University providing the Department of Education with any information relating
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be contacted. Applying to the Casual Register does not guarantee employment. Further Information: Northern Territory Government legislation (the Care and Protection of Children Act 2007) now requires
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work across the School and wider University, often handling confidential information, preparing reports, solving problems, and helping drive key initiatives. This role requires a strong understanding of
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-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight