71 composite-residual-stress-development PhD positions at RMIT University in Australia
Sort by
Refine Your Search
-
This project is aimed at developing platforms to provide security in the post-quantum era. The project aims to incorporate quantum technologies, including quantum machine learning and quantum
-
ADM+S invites applications for PhD scholarships from students interested in the following areas: The development and distribution of automated decision-making (ADM) systems The applications
-
$47,000 per annum (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with the industry partner. A structured professional
-
candidate will have a unique opportunity to work closely with researchers and technical experts from CSIRO in a multi-disciplinary team environment. The project will provide numerous research and development
-
aim to use the features and functionalities of Metaverse supported by Artificial Intelligence to develop a framework for an educational technology platform and training programs that are challenging
-
This scholarship aims to develop a spinal implant-on-a-chip platform to study the mechanobiological effects of wear particles on healthy IVD cells. The project involves generating clinically
-
Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
-
This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
-
) to conduct research in organic resource recovery project. The project will provide numerous development opportunities including: Developing lab-scale and pilot scale experimental rigs Developing numerical
-
This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds