Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sydney
- Monash University
- Curtin University
- RMIT University
- UNIVERSITY OF SYDNEY
- CSIRO
- Flinders University
- Macquarie University
- The University of Queensland
- ADELAIDE UNIVERSITY
- Advanced Navigation's Student Grant Program
- Amgen Scholars Program
- Edith Cowan University
- Queensland University of Technology
- The University of Newcastle
- The University of Western Australia
- University of New South Wales
- University of Tasmania
- WESTERN SYDNEY UNIVERSITY
- 9 more »
- « less
-
Field
-
monitoring and bioelectronic medicine. The project builds on the lab's track record in flexible sensor arrays, field-effect-transistor biosensors, and functional nanomaterial interfaces, and will contribute
-
industry links. Demonstrated experience in LED and photodetector based optical sensor technologies Demonstrated experience in surface mount device components will be beneficial. Demonstrated experience in
-
challenges. Working within a collaborative, inclusive and high-performing research environment, you will help advance process modelling, soft sensor development, process control and comminution technologies
-
. Working within a collaborative, supportive, and industry-connected research environment, you will contribute to applied research that advances soft sensor development, process modelling, comminution, and
-
In EdgeFusionAI (EFAI): Real-Time Multi-Sensor Multi-Modal Intelligence on Edge Devices, we aim to design and develop efficient techniques for fusing heterogeneous sensory data, including vision
-
Status: Closed Applications open: 5/09/2024 Applications close: 31/12/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by CSIRO and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University...
-
-house equipment. Apply your technical expertise across areas such as PCB design, embedded systems, sensors, actuators and data acquisition. Work collaboratively with engineers, academics, students
-
through field-based surveys, and from ground-based sensors, proximal sensors and UAVs and satellites. These data are often used to drive process models, that ultimately are used to optimise aspects
-
learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
-
of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision