Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
. The NSW‑RRTN is a NSW Government–supported collaborative initiative uniting 12 universities and research institutes to build research, training, and workforce capability in RNA science and technology. By
-
new forms of processing intelligence for low-emission metals production and recycling. The candidate will be supervised by Dr Yuxiang Wu ([email protected] ), with collaborators across materials
-
systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. How to apply To apply, please ensure you have digital
-
the perceived enablers and constraints within different organisational and cultural settings. Second, drawing on these findings, the project will work collaboratively with coaches, sporting
-
developed by the successful candidate in collaboration with the PhD supervisors from Cabrini and Monash Nursing & Midwifery. The plan must align with strategic goals established by Cabrini Health in the field
-
to focus on core metabolic features that drive rumen digestion and methane formation. They will collaborate with project partners and utilize meta-omic technologies to characterize microbiota of interest and
-
are first desorbed from impacted soils and subsequently destroyed in the gas phase. In this multi-disciplinary collaboration between CSIRO, academia and industry, the PhD student will have the unique
-
only deal in facts. We collaborate widely and generously and deliver solutions with real impact. Further information about the CSIRO Industry PhD Program can be found at: www.csiro.au/iphd How to Apply
-
. The candidate will join a vibrant interdisciplinary research environment and have opportunities to engage with national and international collaborators, develop advanced mixed-methods skills (including
-
environment and have opportunities to engage with national and international collaborators, develop advanced mixed-methods skills (including fundamental, computational, and AI-assisted analysis), and embark