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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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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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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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Ben Boyd and has a focus on understanding the impact of structure in materials on their processing by the body, with a view to understanding the link between structure and function in drug and nutrient
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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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The Award is open to students enrolled in Master of Philosophy or Doctor of Philosophy degrees who are undertaking a research project in the Hunter Valley Region. The research project must have
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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