Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- University of Oslo
- Curtin University
- Naturalis
- University of North Carolina at Charlotte
- CRANFIELD UNIVERSITY
- CSIRO
- Estonian University of Life Sciences
- Harvard University
- Macquarie University
- Queen's University Belfast
- RMIT University
- The Cyprus Institute
- The University of Queensland
- UNIVERSITY OF SYDNEY
- University of Alabama, Tuscaloosa
- University of Bath
- University of California
- University of Michigan
- University of South-Eastern Norway
- University of Sydney
- University of the West of England
- Western Norway University of Applied Sciences
- Zintellect
- 15 more »
- « less
-
Field
-
ecosystems, including mangroves peatlands, and streams, as natural climate solutions. The lab integrates field-based experiments, high-frequency sensor networks, stable isotope approaches, and modelling
-
shape the future of sustainable beef production in Northern Australia. In this role, you will investigate how emerging on-farm sensor technologies, particularly virtual fencing, can support more precise
-
) working on a wearable sensor development project. This project aims to develop a Wearable Sensor Network that integrates wireless, miniaturized sensors to measure physiological parameters across multiple
-
manipulation experiments, development of diagnosis frameworks (e.g., knowledge-guided machine learning, casual inference, and Bayesian neural networks), evaluation of simulation results (e.g., climate extremes
-
capabilities in water/wastewater sensing platforms. Experience with water or wastewater sensing systems such as chemosensor/biosensor development, sensor deployment, deployable analyte pre-concentration systems
-
Radiation detection, imaging, and instrumentation Materials science, photonics, and advanced sensor development Seismology and geophysics, including seismic modeling, sensing, and other approaches
-
data from SBS Transit bus networks. • Process and integrate high-resolution satellite LST imagery with multi-source urban morphology and sensor data to construct spatiotemporal graphs for model
-
• Weather satellite imagery • Radar observations • Lightning detection networks • Surface sensor observations (e.g., rainfall and wind) The successful candidates will
-
events. You will also be involved in the re-deployment of sensors within the Desert Fireball Network. A central aspect of the role is translation and engagement. The SDA-PD programme has deliberately
-
data, execute complex simulations, and run "what-if" analyses using natural language. System & Simulation Integration: Integrate legacy utility documentation, real-time sensor streams, and domain