Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- The University of Queensland
- Curtin University
- University of Adelaide
- Macquarie University
- University of New South Wales
- RMIT University
- University of Tasmania
- Australian National University
- University of Southern Queensland
- James Cook University
- La Trobe University
- Queensland University of Technology
- Southern Cross University
- University of Melbourne
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Amgen Scholars Program
- CSIRO
- Federation University Australia
- Flinders University
- Murdoch University
- Nature Careers
- RMIT UNIVERSITY
- Swinburne University of Technology
- The University of Newcastle
- UNIVERSITY OF SYDNEY
- University of New England
- University of South Australia
- University of Western Sydney
- 19 more »
- « less
-
Field
-
disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about the School click here . The Clean Combustion Group
-
and Host Area The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning
-
Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
-
), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
-
and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
-
instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine
-
and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
-
simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific
-
your success in this role. ABOUT US At Macquarie University College , we provide students an alternative pathway to a number of Macquarie University's degrees by using our accelerated learning model
-
technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly