-
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
-
the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
-
The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
-
in implementing feasible blockchain-based solutions to support trustworthy machine learning. An opportunity for two talented students to undertake their PhDs on two projects that concentrate
-
learning and/or natural language processing. Strong academic performance in computer science at undergraduate and masters level, with evidence of prior research experience in machine learning and/or natural
-
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
-
treading that will enable efficient and reliable renewal of tyre in short time by machine learning driven printing method. This will be accomplished by developing novel 2D material based elastomer
-
This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work
-
The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
-
computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art