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scholarship guide Application How to apply You are automatically considered for this prize if you are or were enrolled in the award year. Status: Open for applications The information listed here is subject to
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. Questions? For more information about this opportunity, please contact Brian Sullivan, Senior Manager, Platform Services at b.sullivan@its.uq.edu.au . For application inquiries, please reach out
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Status: Closed Applications open: 28/05/2025 Applications close: 27/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 3 hours ago
any information relating to your application or study with Charles Sturt University, if requested, for auditing purposes The scholarship office or the Department of Education, making contact with you
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detailed information about the role on offer, please refer to the Candidate Information Pack contained within this advertisement. What we offer: The University pursues an excellence agenda and offers
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, in‑forest sensor networks, machine learning and AI to generate advanced digital forest data and operational insights for the Australian forestry sector. You will co‑lead a multidisciplinary research
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of project data and information, ensuring resources and documentation are available for internal/external teams and program reporting manage EPICC website and social media channels including LinkedIn and
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primary and secondary schools in northern NSW. Enquiries and additional information To discuss this role please contact Lee-Anne McKinnon, UNE Discovery Project Coordinator, phone 02 6773 1813 email
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contribute to research and teaching within the discipline of Philosophy in the School of Humanities. The research duties include data collection, data analysis, agent based modelling of social epistemic
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weighted sum of the risks from tens to millions of independent disease-associated SNPs from across the genome. The conventional, or gold-standard, approach to analysis of GWAS data is to fit a regression