Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- Macquarie University
- Monash University
- University of Adelaide
- University of Sydney
- Australian National University
- CSIRO
- RMIT University
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- University of New South Wales
- Victoria University
- 3 more »
- « less
-
Field
-
more than 2000 individuals followed up for more than 10 years) and as the Australian Dementia Network (ADNeT). The goal is to develop quantification pipelines using traditional imaging algorithms and/or deep
-
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
-
to be a global leader in dual-sector learning and research by 2028. Join us on the journey and help us achieve our strategic drives embedded in our Strategic Plan 2022-2028: Start well, finish
-
of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose of providing actionable information. Analysis
-
. The research fellow will program and develop generative artificial intelligence and deep learning systems, including working with state-of-the-art transformer and diffusion models. This experience will be
-
. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
-
to train human-robot interaction policies in simulation. These models will be constructed by identifying and integrating known human behavioural biases into deep learning models fit to human data. Working
-
deep learning, and proficiency in using machine learning or deep learning libraries such as scikit-learn, PyTorch, Tensorflow Advanced skills in computer programming for data manipulation and analysis
-
You Completion or near completion of a PhD in the computer science or relevant field. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with Multimodal Foundation
-
deep learning libraries and ML platforms such as PyTorch or Tensorflow, Scikit learn, or CARET, including a track record of effective deployment of these within artificial intelligence or machine