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privacy-enhancing techniques such as secure multi-party computation, homomorphic encryption, differential privacy, and trusted execution to design algorithms and protocols to secure ML models within
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workstreams of the Malaysia Cyber Enhancement Program (MUM CEP). This role centres on the migration of four Malaysian Active Directory environments into Monash’s centrally managed AD and the coordinated
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and conduct experiments, operate specialised equipment, develop and implement experimental procedures, and support project delivery through effective scheduling and computational analysis. This role
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Assistant Grants Officer (Awards) Job No.: 689583 Location: Mulgrave Employment Type: Full-time Duration: Continuing appointment Remuneration: $83,424 - $95,825 pa HEW Level 5 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative...
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Pro Vice-Chancellor (Researcher Development) Job No: 688391 Location: Clayton Campus Employment Type: Full-time, Fixed-term appointment Remuneration: A competitive remuneration package will apply Champion the next generation of researchers and research excellence at one of the world’s leading...
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their potential at Monash University. The scholarship program amplifies diversity in STEM through empowering scholarship recipients to achieve academic success. Total scholarship value $6000 Number offered 10 See
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Leavers Scholarship My journey has been shaped by numerous challenges. I left home at 12 and grew up in the out-of-home care system, which had a significant impact on my academic performance and aspirations
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, delivery, governance and reporting. A key focus of this role is serving as Program Manager for the MRFF-funded CALIPSO trial, while also contributing to the coordination and expansion of other national and
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Content Coordinator - Digital & Online Media and play a vital role in supporting our mission. Headquartered at Monash University, the Centre is a transdisciplinary, multi-stakeholder program aiming
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the simple equation that more training data = better performance. Learning—in particular, the advanced deep learning methods, like BERT for NLP and ResNet for image processing—often require thousands