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Job no: 0055843 Location: Parkville Role type: Full-time Fuxed Term 2 years Faculty: Faculty of Engineering & Information Technology School: School of Computing & Information Systems Salary: Level A
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models within the Scalable Health Intervention Evaluation (SHINE) Program. This position requires expertise in computer science or a related field to synthesize data inputs into policy-relevant information
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mathematics, data science, computer science engineering, artificial intelligence, or information technology, coupled with a strong interest in operations and supply chain management. A growing track record of
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mathematics, data science, computer science engineering, artificial intelligence, or information technology, coupled with a strong interest in operations and supply chain management. A growing track record of
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Open to Australian Aboriginal Peoples and UniSA employees only Full-time, fixed term contract until 31st December 2026 based in UniSA Clinical and Health Sciences at the City West campus Salary
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Australians. Join CSIRO’s Biomedical Informatics Group. CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have
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13 Apr 2024 Job Information Organisation/Company THE UNIVERSITY OF NEWCASTLE AUSTRALIA Research Field Biological sciences Engineering Medical sciences Researcher Profile Recognised Researcher (R2
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
18 Apr 2024 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Mathematics Environmental science Geosciences Researcher Profile Recognised
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within the Scalable Health Intervention Evaluation (SHINE) Program. It involves blending epidemiology with economics and data science to generate policy-relevant information on the health and economic
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Australian National University | Canberra, Australian Capital Territory | Australia | about 17 hours ago
their full career potential. For more information, please click here . To see what the Science at ANU community is like, we invite you to follow us on social media at Instagram and Facebook . For more