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, particularly models of self-regulation and/or co-regulation, and their efficacy in addressing the consumption of sexually violent screen content. The project must contribute to the overarching goals of the DECRA
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
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PhD (maximum one page) A CV including qualifications, academic achievements, list of publications, work history and references A copy of your academic transcript(s) Enquiries: For further information
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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify
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-100) or equivalent. Meet the entry requirements for the relevant Higher Degree by Research at Swinburne University of Technology. The scholarship is contingent upon the candidate enrolling in the Doctor
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years, with the potential to apply for a 6-month extension. Scholarship Details Maximum number awarded 1 Eligible courses Doctor of Philosophy (Humanities or Social Sciences or Media, Culture and Creative
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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candidate must meet the minimum academic entry requirement for admission into the Doctor of Philosophy program https://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by
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minimum eligibility criteria for admission. Application Procedure Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief
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interesting implications for standard models of hierarchical black hole growth. Aims This project aims to explore the optical/IR properties of the most extreme IFRSs, and confirm their redshift range