Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- Monash University
- Australian National University
- University of Adelaide
- RMIT University
- Flinders University
- Curtin University
- University of New South Wales
- University of Wollongong
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Queensland University of Technology
- University of South Australia
- Australian Catholic University
- RMIT UNIVERSITY
- Australian Academy of Science Research Funding
- CSIRO
- Central Queensland University
- Deakin University
- James Cook University
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Nature Careers
- Swinburne University of Technology
- The University of Western Australia
- University of Tasmania
- Victoria University
- 19 more »
- « less
-
Field
-
on high temperature metallurgical systems including complex phase equilibria and heterogeneous kinetics and apply and further develop microanalysis methods for slags, matte, metals and other phases occurring in
-
- Strategic Element Closing date: Closed Early-Career Award Gottschalk Medal The Gottschalk Medal recognises outstanding contribution to research in the biomedical sciences. Closing date: 1 May 2025 Closed
-
AI technology and fostering foundational research into new machine learning methods while exploring real-world application in finance and other industries. For CommBank, this research could unlock
-
in primary care research and an understanding of qualitative and quantitative research methods with a focus on health policy, digital health and/or quality use of medicines will be an advantage. About
-
of bioarchaeology and bioarchaeological methods and a basic understanding of human bone histology, particularly microscopic structures and how they relate to bone growth. Experience of working in a research
-
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
-
capabilities We invite applications for a fully funded PhD position focused on developing supramolecular cages and metal-organic frameworks (MOFs) as next-generation materials for the removal of per- and
-
statistical analysis and software (e.g., Stata or R). Have experience with causally focused epidemiological or econometric methods. Demonstrate a track record of attracting research funding. Show commitment
-
and conduct laboratory experiments to optimise geopolymer formulations. Experience with durability testing methods and mechanical property evaluation of cementitious materials. The selected candidate
-
You A PhD in the field of polymer chemistry/physics. Experience in preparation of complex polymeric structures using modern synthetic methods. Expertise in polymer characterisation including high