Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Curtin University
- Harvard University
- Nanyang Technological University
- ;
- University of Alabama, Tuscaloosa
- Western Norway University of Applied Sciences
- Dalhousie University
- Miami University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- University of Lincoln
- University of Michigan
- University of San Francisco
- University of South-Eastern Norway
- 5 more »
- « less
-
Field
-
experimental setups involving camera systems, IoT sensor networks, or embedded sensing platforms. Experience designing and conducting experiments in aquaculture, animal science, or environmental biology is
-
reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
-
vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
-
operation. Develop modular architectures for multi-agent coordination, sensing, and communication. Integrate sensor suites, flight controllers, and swarm coordination algorithms into UAV platforms. Conduct
-
international research groups, and with national and regional industry partners. The research programme includes the research themes of software engineering, engineering computing, sensor networks and measurement
-
eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection
-
Job Description Job Alerts Link Apply now Job Title: Research Fellow (Time Synchronization of Distributed Radar Sensors) Posting Start Date: 02/05/2025 Job Description: Job Description For a project
-
health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
-
: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration
-
to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables