Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of New South Wales
- University of Sydney
- UNIVERSITY OF SYDNEY
- Flinders University
- RMIT UNIVERSITY
- RMIT University
- The University of Queensland
- Curtin University
- La Trobe University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- FLINDERS UNIVERSITY
- Queensland University of Technology
- Macquarie University
- University of Adelaide
- University of Tasmania
- CSIRO
- Nature Careers
- University of Southern Queensland
- ADELAIDE UNIVERSITY
- Deakin University
- James Cook University
- Murdoch University
- Swinburne University of Technology
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- 17 more »
- « less
-
Field
-
they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
-
Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
-
microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
-
mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a
-
factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
-
collection, data wrangling, big data analytics, and the application of artificial intelligence and machine learning techniques. The role is focused on data and analytics related to development applications
-
Range: $81,293 - $109,307 per annum (plus 17% superannuation) We are seeking a Research Fellow with experience in machine learning research and development, particularly with a specialisation in such
-
Multi-modal Machine Learning-including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
-
Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
-
. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or