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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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of young people and people who work in, visit or oversee police custody and to examine the frameworks, policies, processes and resources available to guide and support the management and care of young people
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involves a competitive process, with shortlisted applicants notified of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility
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process. Closing date 15 February 2026 Further information Further information about this scholarship can be obtained by emailing Janet Wade at hdrinternational@unisq.edu.au . This partnership between UniSQ
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Procedure Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a proposal that
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a competitive process, with shortlisted applicants notified of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria
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Corporation (GRDC)’s initiative, multiple PhD Scholarship positions have been made available on developing new data analytics methods and modelling for grain research innovation and ensuring enduring
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Doctorate and have not yet enrolled The competitive assessment process may take into the account the following: candidature and scholarship eligibility requirements advertised selection criteria for the round
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at conferences is desirable. Application process Future student, please contact us via the EOI form and please include the following information A cover letter (max. 1 page), a CV (max. 2-3 pages, including
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research methods Desirable: interest in pursuing pathways between industry and academic research Application process To express your interest, please submit an EOI form address to Prof Katie Ellis