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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
: 304827 Vacancy ID: PDS004622 Position Summary/Description: The position will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors
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advances in 3D vision, AI-driven detection, and multimodal sensor integration (RGB, RGB-D, LiDAR), and digital twins. The postdoctoral fellow reports to Dr. Vedhus Hoskere in the College of Engineering/Civil
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system automation. Investigate and improve human-machine interaction frameworks for construction operations, including robotics, sensor-based communication, and real-time monitoring. Publish research
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pipelines, Mixed Reality Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements, that allow us to assess plant’s water budget in response to abiotic stress and nutrients’ application
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into the underlying physics of these materials and how they may be incorporated into sensors for medical imaging, high energy physics, and bioimaging. This position’s duties will include the following: Synthesis