Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- Curtin University
- Macquarie University
- Swinburne University of Technology
- The University of Queensland
- University of Adelaide
- Queensland University of Technology
- RMIT University
- University of New South Wales
- Amgen Scholars Program
- CSIRO
- Edith Cowan University
- La Trobe University
- RMIT UNIVERSITY
- UNIVERSITY OF SYDNEY
- University of Tasmania
- 6 more »
- « less
-
Field
-
the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
-
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
-
). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics
-
to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page.
-
contributions towards external activities Demonstrated expert knowledge in machine learning, AI, and bio-signal processing Experience in conducting research projects, with demonstrated high-level written and oral
-
This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
-
for whom English is not their primary language. Strong computer skills including the understanding of student management systems and Microsoft Office suite of products. Note: The successful applicant will be
-
, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
-
. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and
-
: Contribute to the design, manufacture and delivery of a prototype field-deployable quantum sensing device. Support the development of project plans and schedules and participate in planning processes as