Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Science
- Biology
- Linguistics
- Humanities
- Materials Science
- Arts and Literature
- Mathematics
- Law
- Philosophy
- Psychology
- Education
- Sports and Recreation
- Chemistry
- Earth Sciences
- Design
- Electrical Engineering
- Environment
- Social Sciences
- 13 more »
- « less
-
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
-
optimisation of our enterprise and research computing infrastructure. In this pivotal role, you’ll drive excellence across storage, backup, and virtualisation systems—ensuring resilience, scalability, and
-
Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a crucial role in preventing the onset or progression of diabetes. A large number of mobile apps have...
-
with Turning Point's helpline service, students on the Next Generation of Graduates in AI in Mental Health program will have the opportunity to enhance the capabilities of these helplines using data
-
driven and meticulous Research Officer to support a ground-breaking program at the forefront of gastrointestinal cancer research. Based within the Gastrointestinal Translational Research Laboratory
-
: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees
-
the possibility of renewal. A commitment to attending 8 meetings per year, plus additional follow-up reviews and training sessions. What you bring Effective interpersonal and computer skills. Ability to read large
-
peer-reviewed publications, while providing senior-level expertise to support and mentor internal teams. A vital responsibility includes guiding emerging science-practitioners (Clinical Psychology PhD
-
Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
-
, 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