Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Education
- Engineering
- Materials Science
- Science
- Arts and Literature
- Law
- Biology
- Design
- Humanities
- Linguistics
- Mathematics
- Psychology
- Philosophy
- Chemistry
- Sports and Recreation
- Earth Sciences
- Electrical Engineering
- Environment
- Social Sciences
- 13 more »
- « less
-
the simple equation that more training data = better performance. Learning—in particular, the advanced deep learning methods, like BERT for NLP and ResNet for image processing—often require thousands
-
, collaborative environment. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value
-
to code, preferably in C, C++ or Rust, is also necessary. Candidates with experience or interest in cutting planes, polyhedral geometry and graph theory are especially invited to apply. A fully-funded
-
, philanthropy, other research income, and industry partnerships. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place
-
project are open to negotiation, but it should be designed with the aim of making a positive difference to the life experience of people with disabilities. Projects that fall into one (or more) of the
-
payments if you are changed to a Commonwealth Supported Place and are eligible to defer your fees, but you may continue to receive the allowance. You may be asked to provide an annual progress report to
-
belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience and
-
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
-
real-life data. Expected outcomes include improved anomaly detection methods with reduced false positives, thereby reducing the costs associated with investigating false positives and minimising resource
-
sound and music, computational design, and tangible and physical computing. This position offers the opportunity to engage in impactful research and contribute to the development of new technologies