39 high-performance-computing-postdoc research jobs at Monash University in Australia
Sort by
Refine Your Search
-
, proximal transducer assays, second messenger assays) to understand GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary
-
. This role will contribute to innovative research evaluating methods to enhance the quality of systematic reviews of health research. You’ll primarily work on a high-impact project that supports the creation
-
, Cancer and Regeneration and Neural regeneration. As the Research Fellow you will be responsible for leading scientific projects in the field of skeletal muscle tissue engineering. They will perform cell
-
., Native PAGE, cryo-EM) to GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary research teams Working under broad
-
trial coordination. This is a unique opportunity to grow your research experience in a high-impact, patient-focused environment, supported by a collaborative team at the cutting edge of respiratory health
-
people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
-
potential of high-speed rail (HSR) in shaping Australia’s urban future. As a Level A Research Fellow, you will undertake high-quality, independent research aligned with the project’s objectives, with a focus
-
activities including research, education and implementation. You’ll play a key role in designing and conducting research projects, engaging with clinical and policy stakeholders, producing high-quality outputs
-
surrounded by extraordinary ideas - and the people who discover them The Opportunity Lead high-impact research that transforms global health practice Monash University’s School of Public Health and Preventive
-
objectives and industry needs. Contribute to high-quality research outputs, with an expectation to publish in relevant academic venues. The ideal candidate will have: A strong background in mathematical