Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- The University of Queensland
- University of Adelaide
- Curtin University
- University of Sydney
- Nature Careers
- Queensland University of Technology
- University of Southern Queensland
- Australian National University
- CSIRO
- 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
-
the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
-
on optimisation techniques and differential equation discretisation schemes will be developed for solving the developed mathematical models. Computer codes in Python/Matlab/R implementing these models and numerical
-
policy. A research program will demonstrate the consequences of these assumption on employee, manager, and organisational outcomes through surveys of organisational leaders, and use simulations and
-
and it involves a large number of computational operations. A network simplification approach will be designed to slim network sizes to suit real time implementations. Robust underwater acoustic
-
the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate
-
Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
-
defence algorithms are remain a challenge in the research community. Furthermore, most existing AML algorithms can only apply to Euclidean space. How to extend existing AML algorithms to non-Euclidean and
-
and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
-
This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
-
Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve