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Field
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traditional assessment scales with sensor-based measurements, with novel analyses based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research
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satellite datasets and employ near-real-time server-side algorithms for time-series analysis and the generation of value-added geospatial maps. To enhance the sustainability performance and competitiveness
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(CPS) for aquaculture, to sensors and platforms for maritime applications. The Postdoc’s primary task will be to lead the development of algorithm, software, and hardware to extend the current HAUCS
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closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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techniques; b) Practical experience in experimental data acquisition, particularly with biosignal systems and physiological sensors; c) Experience in data curation and management, including cleaning
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(AIED) and Educational Data Mining (EDM) projects with Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance
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integration of sensors into devices. - Develop and implement physical activity meters based on inertial and ultrasound devices. - Validation and field testing of embedded systems to ensure their reliability in
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Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance learning at scale. Research directions include designing
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in candidates who have expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation