Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of New South Wales
- University of Sydney
- RMIT University
- RMIT UNIVERSITY
- UNIVERSITY OF SYDNEY
- Curtin University
- Queensland University of Technology
- ADELAIDE UNIVERSITY
- Macquarie University
- The University of Queensland
- University of Tasmania
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Flinders University
- La Trobe University
- The University of Western Australia
- CSIRO
- Deakin University
- University of Adelaide
- CURTIN UNIVERSITY
- FLINDERS UNIVERSITY
- Griffith University
- James Cook University
- Murdoch University
- Nature Careers
- SWINBURNE UNIVERSITY OF TECHNOLOGY
- Swinburne University of Technology
- University of Southern Queensland
- 18 more »
- « less
-
Field
-
modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
-
Research Infrastructure? No Offer Description Based at Australian Institute Machine Learning (AMIL), City East Campus 2 x Full-time, 2-year fixed term contracts Salary Range: $114,917 - $135,932 per annum
-
This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
-
the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
-
Molecular Neuroscience, Molecular Biology, or a related discipline (required). Demonstrated experience in, behavioural neuroscience techniques and automated/semi-automated machine learning analyses of rodent
-
artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information
-
in finite element modelling and machine learning (desirable). How to apply Apply for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy . *The first step is to
-
study flow dynamics relevant to reactor design using optical diagnosing methods, followed by image processing, which may include machine learning-based techniques. This suits Mechanical Engineering
-
Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
-
forecasting/uncertainty. Holger Maier is internationally recognised for developing and applying AI/machine learning, optimisation (notably evolutionary algorithms), and decision-support methods for complex