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data analysis (sensor integration, data acquisition, signal processing, and indicators based on vehicle–bridge interaction), as well as structural validation in real-world environments through comparison
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position is associated with the Robot Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https
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Mölnlycke Health Care (MHC), a world-leading producer and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological
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, sensor technologies, and data analysis for research focusing on automated health monitoring in dairy cows. About the project This postdoctoral position is part of a newly funded research project aimed
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Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments
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and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and
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applied to unstructured environments. Proven ability to design, implement, and evaluate experimental systems involving hardware and sensors. Experience with multi-modal sensing (e.g., RGB-D, thermal, LiDAR
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, optical and lidar sensors together with auxiliary data to generate AI-ready datasets. Prepare large training data sets from other satellite remote sensing instruments and auxiliary data Present results
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that work individually or in swarms (groups). The focus is on developing methods within control, sensor and communication systems, for such systems. The work involves both simulation and practical testing
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sensor data collected in barn environments. The research is conducted at SLU in close collaboration with European research groups within EUPHAW. The work takes place in a multidisciplinary research