138 phd-in-computational-mechanics-"Multiple"-"Prof" positions at University of Adelaide
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Adelaide Graduate Research School is partnering with the Borderline Personality Disorder Collaborative to provide a research internship opportunity for a PhD student. The Borderline Personality
-
funded 3.5 year PhD projects that will develop an innovative approach for enabling the discovery of natural hydrogen accumulations in continental interiors. Using the unique natural laboratory
-
to lead to improved predictive design of biomass crops for the production of sustainable aviation fuel. The postdoc will also co-supervise PhD students and Honours students. To be successful you will need
-
improvement. To be successful you will need: Demonstrated knowledge of technical services and principles associated with working within customer focused mechanical workshop. Demonstrated experience in
-
(HEO6) $89,383 to $96,550 per annum plus an employer contribution of 17% superannuation will apply. Multiple full-time fixed term contract until 31 December 2025. Based in the Integration Management
-
this funding was allocated to support PhD and Mas of Philosophy students undertaking postgraduate research in the area of cystic fibrosis. Eligibility: Applicants must be Australian citizens or permanent
-
and rural health staff informatics, coordinate the writing of ethical applications and reports, and contribute to writing publications and external grants. To be successful you will need: A PhD in
-
fosters bilateral collaboration, knowledge transfer, and diplomacy. Whether you're seeking funding for a master’s degree, PhD research, postdoctoral fellowship, or short-term research program, Fulbright
-
group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
-
splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning