Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- The University of Queensland
- Curtin University
- University of Adelaide
- University of Sydney
- CSIRO
- Nature Careers
- Queensland University of Technology
- University of Southern Queensland
- Australian National University
- RMIT University
- UNIVERSITY OF SYDNEY
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- La Trobe University
- Murdoch University
- RMIT UNIVERSITY
- UNIVERSITY OF ADELAIDE
- University of Technology Sydney
- 9 more »
- « less
-
Field
-
techniques for near-field microwave systems, design and test antennas/antenna arrays for near-field microwave imaging, model and simulate antenna and algorithm performance, participate in lab testing, write
-
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
-
. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
-
programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
-
modelling, enabling more cost-efficient training algorithms. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A four-year scholarship package
-
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
-
, 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
-
This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
-
software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
-
the given non-classical logic. The proof of the claim contains an algorithm for deciding whether an arbitrary formula is true or else false! This proof can then be exported automatically to produce a formally