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telecommunications, automation or computer science * research experience in fiber optic sensors, including hands-on experience in modifying optical fibers * experience in operating laboratory equipment, including
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management systems. Integrate remote sensing (satellite, airborne, UAV), hyperspectral/multispectral data, and proximal sensors into modeling workflows for crop status assessment, stress detection, and yield
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, thermal management systems, and optical sensors. The ideal candidate is someone who enjoys a hands-on learning environment. Strong documentation skills are an essential for a successful candidate in this
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. Experience applying data assimilation and using observations from in-situ sensors or satellite products (e.g., gross primary productivity, leaf area index, yield, GHGs, etc.) to quantify productivity and
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
: PMC10056397. Farsi, A.; Cerone, G.L.; Falla, D.; Gazzoni, M. Emerging Applications of Augmented and Mixed Reality Technologies in Motor Rehabilitation: A Scoping Review. Sensors 2025, 25, 2042. https://doi.org
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. Probabilistic Digital Twin Synchronisation: Developing robust Bayesian frameworks and uncertainty quantification (UQ) to bridge the reality gap between real-world sensor data and high-dimensional computational
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data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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the development of the following main tasks: i) Definition of an architecture for a digital representation with a digital twin of sensorized surfaces. ii) Integration of real-time data from Internet of Things
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research with a strong emphasis on digital health, particularly the innovative application of wearable sensor data analysis and mobile health (mHealth) application development. The goal of this research is
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will perform research with a strong emphasis on digital health, particularly the innovative application of wearable sensor data analysis and mobile health (mHealth) application development. The goal