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following cycles caused by changes in chemistry and hydrogen bond donor (HBD) composition. DES also exhibits poor chemical stability at higher operating conditions, resulting in solvent loss. Furthermore
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nutrition strategies to improve outcomes for people in the post-treatment survivorship phase. The successful candidate will be supervised by Doctor Megan Crichton and Distinguished Professor Patsy Yates and
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material design. Based in our Science and Engineering Faculty, you will also spend time at our research hub at the Karlsruhe Institute of Technology (KIT) in Germany. Find out more about our research team
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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stars, and what are the barriers in identifying these systems observationally. Lastly, we aim to assess and verify theoretical predictions on the effects of properties such as chemical composition
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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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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). Scholarship Details Maximum number awarded 1 Eligible courses Doctor of Philosophy Eligibility criteria Essential Criteria To be successful with this scholarship, the successful applicant will have: Educational
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applied research skills.EligibilityThe applicant must:•be an Australian citizen or a Permanent Resident, or a New Zealand citizen•meet the entry requirements for a QUT Doctor of Philosophy, including any