Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Monash University
- The University of Queensland
- Australian National University
- University of Sydney
- Curtin University
- University of Adelaide
- Macquarie University
- RMIT University
- University of New South Wales
- RMIT UNIVERSITY
- UNIVERSITY OF SYDNEY
- CSIRO
- University of Tasmania
- Deakin University
- James Cook University
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF MELBOURNE
- CURTIN UNIVERSITY
- DEAKIN UNIVERSITY
- Federation University Australia
- Flinders University
- LA TROBE UNIVERSITY
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- Swinburne University of Technology
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Melbourne
- WESTERN SYDNEY UNIVERSITY
- 21 more »
- « less
-
Field
-
criteria A PhD in Computer Science or Software Engineering or Computational Statistics, or a related field; or a Master’s qualification in a relevant field and/or equivalent demonstrated experience
-
: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
-
to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Advance Net Zero with sustainable feedstock solutions for low-carbon fuels Lead
-
fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
-
sciences, spatial statistics and genetics. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse data Contributing to the drafting
-
(Japanese-based staff). Please note for the purposes of this program early career researchers are defined as academic staff who have completed their PhD within the last ten years. South Australian Applicants
-
research focus areas. The Research Fellow will embed their research expertise into the life of the School through the development of high-quality, productivity driven research networks across RMIT and with
-
working in collaborative, interdisciplinary teams, particularly in projects that integrate biology, data sciences, and/or software development. Effective communication skills, including the ability
-
effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government. Excellent planning and organisation skills. High-level interpersonal and
-
sciences, and/or software development. Effective communication skills, including the ability to present research findings to both technical and non-technical audiences and engage in stakeholder or end-user