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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) Domestic Scholarship Opportunities at Faculty of Engineering Location: Clayton campus Employment Type: Full-time Graduate
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) International Scholarship Opportunities at Faculty of Engineering Job No.: 673887 Location: Clayton campus Employment Type
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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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standard, will also be considered. • Applicants who already hold a PhD are not eligible. Degree Information • E8009.1 - Doctor of Philosophy (Monash - Bayreuth) Application Information Send a copy of your CV
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and sustainable electrolyte materials for advanced energy storage systems. The project addresses key challenges in post-lithium battery technologies and focuses on the development of innovative
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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process should be directed to; Dr Melinda (Millie) McCabe, Senior Project Co-ordinator, E: [email protected] . Applications Close: Monday 31 August 2026, 11:55pm AEST Supporting a diverse workforce
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for a future e+e- collider. Measure branching fractions of baryonic multi-strange decays. Photon detector characterisation for a future Time of Flight detector at CERN. web page To discuss a possible