Research Supervisor Connect - Future Students - University of Sydney, Australia

Search for your opportunity

Showing results 21 - 23 of 23

Your Search Results

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ASSISTED NEWBORN CRITICAL CARE (VIRTUAL CRITICAL CARE MODELING)

The most vulnerable critical care patients are newborn babies both those extremely premature and sick full term. High resolution physiological data is displayed for all patients but more...

Supervisor(s): McEwan, Alistair (Professor)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

« Previous 1 2 3 Next »

Didn't find what you were looking for?

Select the appropriate faculty and submit an enquiry giving details about the research you would like to do:

The University of Sydney - Research Supervisor Connect

Returning User?

Susie Wood

Combustion of mine ventilation air methane using porous burners

Search for your opportunity

Your Search Results

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ASSISTED NEWBORN CRITICAL CARE (VIRTUAL CRITICAL CARE MODELING)

Real-time Low-power Neural Accelerator

Data-intensive solutions for medical technologies

Select Faculty:		Select Units: