336 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
exploration for the candidate is extending the work on Pathling (developed by the CSIRO). Another area demanding further investigation and research is that of dynamic and extensible clinical decision support
-
. Machine learning has been found to introduce and perpetuate discriminatory practices by unintentionally encoding existing human biases and introducing new ones. In this project, we will develop automated
-
The use of AI in law enforcement and judicial domains requires consideration of a number of ethical issues. This project will investigate and develop frameworks that embed ethical principles in
-
placement, so I can focus on developing my skills at university. Am I eligible? You must be one of the following: An Australian citizen A New Zealand citizen Australian permanent resident Australian
-
Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
-
This practice-based research involves further development of the AirSticks, a hardware/software package which allows the triggering and manipulation of sound and visuals in a 3D playing space, as a
-
inference and machine learning to develop subject specific mathematical models of the brain that can be used to infer brain states and monitor and image the brain. This work is centred around a
-
developing ‘digital feedback literacy’ among learners, understanding how technology shapes feedback pedagogy, and exploring areas where learning and teaching in the digital age can be supported by technology
-
As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions are incredibly
-
will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement