Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
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
-
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
-
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
-
[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
-
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
-
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
-
of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https://www.monash.edu/graduate-research/future-students/scholarships
-
Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development