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funding in the form of a Living Allowance Stipend and a tuition offset support to work with their industry partner on the following Australian Research Council [ARC] Linkage Project: Optimising cost
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for the development of a comprehensive resistance mutation detection method based on the application of long-read sequencing technology to complex field samples. Student type Current Students Future Students Faculties
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: Full-time Graduate Research Degrees: E8009 - Doctor of Philosophy (Monash - Bayreuth) Duration: 3.5-year fixed-term appointment Remuneration: AUD 36,063 per annum (tax-free stipend) (2025 rate) Monash
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includes an extension of up to 6 months, if approved for your candidature. This is the full-time, tax‑exempt rate which will index annually. You will receive a tuition fee offset/sponsorship, covering
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translation into practice, following evidence-based communication and media strategies. Student type Current Students Future Students Faculties and centres Faculty of Health Sciences Course type Higher Degree
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Status: Open Applications open: 4/06/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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includes an extension of up to six months if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. An additional $15,000 per annum top-up scholarship is available
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that leads to publications, oral and poster presentations, and a PhD dissertation. Student type Future Students Faculties and centres Faculty of Science & Engineering Science courses Course type Higher Degree
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of individualisation of training to maximise the adaptive response is as important for team sport athletes as it is for individual sporting pursuits. However, due to the complexity inherent in competition (e.g
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r