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Field
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advanced actuators, smart materials, sensor systems, and new adaptive control methods to manage the open-ended degrees of freedom of morphing systems. Methods will span both active smart-material based
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on complex system subject to various constraints. Design and develop real-time algorithms. Simulate and evaluate system performance. Document research outcome to publish at international conference / journal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days 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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planning algorithms to real hardware to simulate multibody 0g space dynamics. Candidates with demonstrated experience with robotic algorithms and writing software for robotic hardware will be prioritized
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 16 days ago
, thickness gauges, near-field radar sensors etc.; incl. new measurement and signal processing techniques, algorithms for their control, derivation of the parameters of interest and image reconstruction
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teams. Identify, research, and develop algorithms to exploit information in various sensor systems Analyze and develop models of signal processing outputs to support system understanding Present results
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on creating accurate digital twins, improving anomaly detection models, and integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Researcher 2) role offers the opportunity
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-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
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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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underlying pain and distressing symptoms in people who are no longer able to explain their suffering. The project will combine traditional assessment scales with sensor-based measurements, with novel analyses