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Field
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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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bioprinting, regenerative medicine) to in vitro and in vivo biomedical engineering (in vivo sensor technology, in vivo physiologic monitoring, in vivo pharmacies) to AI-driven imaging and mathematical modeling
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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of the recruitment and description of the project Department of System Design ,Faculty of Robotics and Design, Osaka Institute of Technology https://www.oit.ac.jp/ [Work content and job description] Sensor Engineering
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Fraunhofer Institute for Wind Energy Systems IWES | Bremerhaven, Bremen | Germany | about 1 month ago
... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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Research Associate with background in irrigation, loT, and sensors to conduct research on developing an innovative irrigation management technology for field crops and specialty crops. The primary duties
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 3 months 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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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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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