Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- Curtin University
- RMIT University
- The University of Queensland
- University of Adelaide
- University of New South Wales
- Nature Careers
- Queensland University of Technology
- University of Southern Queensland
- CSIRO
- Flinders University
- RMIT UNIVERSITY
- Central Queensland University
- Edith Cowan University
- Griffith University
- University of Technology Sydney
- 6 more »
- « less
-
Field
-
scoring framework to establish sophisticated classification algorithms that drive marketing and sales qualification motions and the necessary workflows that enable an automated lead management Advance
-
processing algorithms (desirable). Electronics design skills using Altium (desirable). About the College of Science and Engineering At the College of Science and Engineering we believe in the power of science
-
This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
-
systems from QC attacks, and accelerate the adoption of quantum-enhanced cybersecurity, AI, optimisation and simulation algorithms across Australian industries – aligning with the Digital Economy 2030
-
computer vision and machine learning methods and adapt new algorithms to automate inspection procedures of PV plants. Given the data captured by a remotely operated drone, we first investigate the required
-
formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
-
We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
-
, programming, algorithms, and data analysis skills Outstanding research skills Applicants with Master degrees by research with technical publications and research experiences in structural dynamics and
-
. With the widespread adoption of ML algorithms for data analysis and decision-making, preserving the privacy of individuals' data has become a paramount concern. The project focuses on exploring
-
software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and