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Status: Closed Applications open: 14/10/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information This PhD Scholarship is funded
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to research in dementia or complex trait genomics Not receiving any other full PhD scholarship or stipend Application process Please contact us via the EOI form . Enrolment Requirements Recipients must complete
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the strategic use of communicative practices for commercial gain. Efforts to identify environmental factors leading to young people’s harmful alcohol use point to the impact of exposure to alcohol industry
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Institute (NDRI) in the Faculty of Health Sciences at Curtin University invites expressions of interest from suitably qualified candidates for a fully funded PhD scholarship in qualitative research about
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methods for elemental tracking of Ca under biotic and abiotic environments in a range of substrates and microbial metabolic pathways using stable isotopes. A 3 year PhD project available at Curtin
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
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eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR Expression of
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. The candidate will work with a team of other PhD candidates studying at National Drug Research Institute and the Burnet Institute across a diverse range of topics. Candidature would be full time and analyses will
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scholarship. Selection for these scholarships involves a competitive process, with shortlisted applicants notified of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All
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desirable. The successful applicants must be enrolled on a full-time basis and cannot hold any other scholarship. Application process Please send your CV and a very brief rationale [2-3 paragraphs, maximum