Displaying 1 - 10 of 40 projects.
Medical VLMs - especially if they can be deployed inside "corporate firewalls" or under the direct governance of health services - potentially offer great advantages over general purpose VLMs for a range of reasons.
However there are fundamental questions over their performance and suitability for deployment inside healthcare, and as to whether they can compete given the mega-infrastructure and ability to upgrade that is available to the big players (OpenAI, Anthropic etc).
Overview
This project proposes a novel quantum-enhanced learning analytics framework for higher education, focusing on early identification of at-risk students and optimisation of intervention strategies using hybrid quantum-classical approaches. While current learning analytics systems rely on classical statistical and machine learning techniques, they often struggle to capture the complex, uncertain, and multi-dimensional nature of student learning behaviours.
Digital health (DH) technologies promise significant improvements in healthcare delivery, but their successful implementation requires rigorous evaluation to ensure they meet clinical and operational needs.
There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health (VBDH).
To expand further, VBDH is a discipline area that sits at the intersection of DH, HTA and IS and is focused on defining, delivering and measuring value in all parts of the lifecycle of DH products. (Prof C Bain, 2024)
In order to achieve ubiquitous success in AI for Pathology around the world (in particular in histopathology), a number of key technical issues and challenges need to be addressed. These - and potential remedial approaches - will be explored in this research program and they include (as examples):
Understanding protein structures is fundamental in food science, but traditional 2D representations often fail to convey their complex 3D shapes and interactions. This project aims to develop VR/AR applications that allow users to explore protein structures interactively and immersively, enhancing comprehension of protein function, behavior, and their roles in food systems.
!! Please note that the two PhD scholarship positions described below have been taken. While there are still opportunities for other students to work in similar areas of reserach, new applicants seeking scholarship will need to apply for the Monash University central scholarships.
Exciting opportunities to work on a new Discovery Project: Enhancing learner feedback literacy using AI-powered feedback analytics!
Project description:
This scholarship opportunity is open to domestic applicants who identify as Aboriginal or Torres Strait Islander.
More information about the opportunity can be found here: https://careers.pageuppeople.com/513/cw/en/job/685291/phd-opportunity-indigenous-energy
Monash Energy Institute and Faculty of Information Technology invites applications for a fully funded, 3.5-year PhD scholarship for commencement in 2026. The scholarship provides a stipend of $52,352 per annum tax exempt for 3.5 years along with additional support.
Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and developing drug and vaccine treatments.
Modern AI techniques can provide powerful models for classifying and understanding protein structures, but expert supervision is required in the development, training and deployment of these models into automation scenarios.
We seek to explore opportunities and challenges for the use of Extended Reality (XR) technologies (including augmented and virtual reality, as well as mixed-reality interaction techniques) to support surgeons, operating room technicians, and other professionals in and around operating room activities. Particular areas that may be explored are:
