Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of New South Wales
- RMIT University
- The University of Queensland
- University of Adelaide
- Curtin University
- Macquarie University
- University of South Australia
- University of Sydney
- Australian National University
- Queensland University of Technology
- Deakin University
- Flinders University
- University of Melbourne
- Central Queensland University
- University of Western Sydney
- Swinburne University of Technology
- The University of Newcastle
- UNIVERSITY OF SOUTH AUSTRALIA
- CSIRO
- The University of Western Australia
- UNIVERSITY OF SYDNEY
- University of Technology Sydney
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Southern Cross University
- DEAKIN UNIVERSITY
- Edith Cowan University
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF MELBOURNE
- University of Southern Queensland
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aust MS
- BOND UNIVERSITY
- Murdoch University
- Nature Careers
- Nuclear Science and Engineering Undergraduate Scholarship - Department of Defence
- SWINBURNE UNIVERSITY OF TECHNOLOGY
- University of Melbourne, Department of Mechanical Engineering
- University of Tasmania
- Victoria University
- 33 more »
- « less
-
Field
-
Lead the technical development of the VariantSpark platform and clinical pathology applications Use your cloud-based, high-performance computing & machine learning expertise to bring IT
-
This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in scenarios involving sensitive or confidential data
-
Apply now Job no:523884 Work type:full time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity We are looking for machine/deep learning expert to join our team that is
-
Analytics for the Australian Grains Industry (AAGI) Spearhead ground breaking advancements in data engineering by leveraging cutting-edge machine learning techniques Strong commitment and action
-
Administrator to be part of the Australian Institute for Machine Learning’s (AIML) award winning Industry Solutions team which develops machine learning algorithms, tests, delivers and maintains software systems
-
The Quantum Machine Learning Scientist works within a truly multi-disciplinary team of scientists and engineers at the forefront of atomic electronics and quantum computing internationally, funded by Silicon
-
scholarship is available at the Institute for Frontier Materials (IFM), Deakin University. This project will develop solid electrolytes using combined machine learning (ML), molecular modelling, and
-
personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about
-
PhD Opportunity: Machine learning-based kinetic modelling on the thermal decomposition of plastic waste via pyrolysis Job No.: 661850 Location: Clayton / Advanced Fuel Innovation premises in
-
& machine learning who has the ambition to lead innovation in education and employability, research and industry engagement. The School of Information Technology is positioned at the cutting edge of future