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Research Program Manager, Psychology Job No.: 697561 Location: Clayton campus Employment Type: Full-time Duration: 3 year fixed-term appointment Remuneration: $124,343 - $137,251 pa Hew 8 plus 17
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Program Director, Cyber and Infrastructure Strategic Program Delivery Job No.: 697309 Location: Clayton campus Employment Type: Full-time Duration: 3 year fixed-term appointment Remuneration
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Indigenous Graduate Program 2027 - Yurranga Barring Duliin Job No.: 695685 Location: Multiple locations - Clayton, Caulfield, Peninsula and Parkville campuses Employment Type: Full-time Duration: 12
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Program Manager, Entrepreneurship and Innovation Job No.: 696213 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $124,343 - $137,251 pa HEW Level
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Senior Coordinator, Global Programs and Partnerships Job No.: 695651 Location: Caulfield campus Employment Type: Full-time Duration: Fixed term until 5 November 2027 Remuneration: $110,527
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) 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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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel, key
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Centre for Health Economics, Monash Business School, Integrated PhD Program 2027 Fully Funded 4.5-Year PhD in Health Economics - Monash University (Melbourne, Australia) Job no.: 625101 Location
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural