Enhancing a Blood Coagulation Rheometer Design for Portable Operation in Rugged Conditions
Location:
Melbourne, VIC
The research, enhancing the portability of a blood coagulation rheometer, will enable it to be used in more remote and challenging locations. This will potentially enable improved patient care for under-served patient groups and in remote regions.
Challenge and research the gap in understanding fire behaviour and forecasting fire danger for areas that contain updated vegetation grass layers for the NT.
Unlocking the Power of Breathwork, Hot and Cold Exposure: Transforming the Human Body
Location:
Melbourne, VIC
The interplay between breathwork, cold water therapy, and sauna use has gained attention for its potential physical and mental health benefits, but there is a lack of rigorous studies examining their combined and comparative effects. This project seeks to fill that gap by conducting a comprehensive study to explore their physiological, psychological, and biochemical impacts, aiming to inform evidence-based health optimization strategies.
Unmanned Surface Vehicles (USVs) are increasingly used to monitor and detect small targets at sea. These USVs currently rely on radar systems to detect these small targets at sea. This project will provide a novel solution to detection using an advanced marine radar solution.
Development of an RShiny App for Longitudinal Protein Expression Data Analysis
Location:
Melbourne, VIC
CSL is seeking a Statistics, Biostatistics or Bioinformatics student to develop a web-based tool in RShiny to streamline the statistical analysis of longitudinal protein expression data. This critical tool will revolutionise how scientists analyse longitudinal protein expression data and accelerate the drug development pipeline at CSL Research.
WaveSense: Advanced Signal Processing and AI for Next-Gen Human Presence Detection
Location:
Melbourne, VIC
“WaveSense” combines AI and mmWave signal processing to redefine human presence detection. This project delivers precise real-time sensing with application in smart environments and beyond. Candidates will engage with state-of-the-art mmWave tech, gain hands-on experience in AI-driven signal processing, contribute to impactful real-world innovations.
All PhD and Masters by Research students are encouraged to submit an expression of interest to join the APR.Intern database. These submissions are viewed by industry partners with the intention of creating internship projects.
