Sort by
Refine Your Search
-
Listed
-
Field
-
home. This has allowed me to dedicate more time to my studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only
-
, identifying molecular disease signatures and matching them with the most effective therapeutic interventions are essential. The Hudson‐Monash Paediatric Precision Medicine (HMPPM) Program aims to develop and
-
advancing the Biomedical Engineering program outcomes through complex research activities, including providing training in mammalian cell culture, bacteria culture, flow cytometry and microscopy, as
-
advisory boards, government committees and multi-university consortia Demonstrated ability to identify and secure new funding and program grants, ensuring financial sustainability and scaling initiatives
-
program – it’s an opportunity to reinvent how students connect, engage, and succeed at University. What You’ll Be Doing: Own the transformation. Lead the business analysis activities in a cross-functional
-
managed by the Clinical Outcomes data Reporting and Research Program (CORRP), within the School of Public Health and Preventive Medicine (SPHPM) – Australia's largest and most respected School of Public
-
submit your resume and a short statement addressing why you would make a great Lecturer/Demonstrator in our program. Recent Professional practice is required for this role. Please detail your recent
-
Department Manager Job No.: 681611 Location: Caulfield campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $120,138 - $132,610 pa HEW 08 plus 17% employer superannuation Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be...
-
of robust QoS metrics for medical applications known to perform poorly with established QoS metrics. We would also like to explore the geographical distribution of available services in Australia, and where
-
at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need