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Field
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perspective. Sensors of animals and their environment will be used and connected to cloud services. Massive, real-time data will be used to perform an integrated environmental and energy evaluation of the farms
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of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). * Develop and validate calibration methods for new sensors for turbidity and existing commercial
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wearable sensors (e.g., accelerometry, electromyography) and ultrasound imaging. The position involves working directly with clinical populations on projects in the field of multiple sclerosis, neuromyelitis
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Industry 4.0, yet their performance deteriorates over time due to sensor drift, process variations, and system changes. The CareFree Models Project addresses these challenges by developing frameworks
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, and other methods. Collects data using cameras, sensors, and data acquisition systems. Prototypes, troubleshoots, and fine-tunes machine learning models for outcome predictions relevant to surgery
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36 Months, Fixed Term Full-Time Post Position Summary A position has become available for a Post-Doctoral Researcher to work on a new project focused on the use of low-cost sensor networks
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team also has experience with multi-sensor systems including lidar, inertial sensing within the context of real-time SLAM and autonomous exploration. The researcher will have the opportunity to establish
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advanced data on nature and biodiversity (derived from AI-supported monitoring and analysis of sources such as satellite imagery, acoustic sensors, and camera traps) can inform spatial planning and decision
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for geometry assurance – integrating live sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry
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: Strong background in controlled environment agriculture (e.g., greenhouse or growth chamber research). Experience with experimental design, data collection, and statistical analysis. Experience with sensor