Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- University of New South Wales
- Curtin University
- RMIT UNIVERSITY
- La Trobe University
- Monash University
- FLINDERS UNIVERSITY
- UNIVERSITY OF SYDNEY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Macquarie University
- University of Sydney
- University of Tasmania
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- The University of Queensland
- CSIRO
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MONASH UNIVERSITY
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF WOLLONGONG
- UNSW Sydney
- University of Adelaide
- 12 more »
- « less
-
Field
-
Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
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
-
materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
-
stakeholders. Exceptional attention to detail in all matters. High level of computer literacy including word processing; presentation software (e.g.PowerPoint); email, internet and electronic document management
-
the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
-
the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
-
find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
-
machines, system integration and electrical reticulation/protection. This role will also see you work collaboratively with a multidisciplinary team to advance renewable energy technology through cutting-edge
-
high‑quality work‑based learning experiences that strengthen our connection with local communities and industry. Working within a portfolio team under the direction of the Business Partner & Team