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to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables
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Role Description A research position is available to support research to enhance observations of human exposure to air pollution and other pollutants using sensor-based approaches. Air pollution is
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: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration
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of Birmingham Background We are seeking a Research Fellow to support the development and application of quantum technology-based gravity gradient sensors. The successful candidate will focus on the analysis and
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institutions, along with a team of new postdocs, to explore the many facets of biological invasions by plants, insects, and tree pathogens in forests worldwide. The activities of FISC are conducted in
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to sensor data, diagnostics, or control optimisation. Proficiency in software development for hardware interfacing, sensor integration, and communication protocols (e.g., CAN, I2C, SPI). Ability to analyse
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) The University of Strathclyde has a significant depth of space research expertise across its Applied Space Technology Laboratory, the Sensor Signal Processing & Security Laboratory, and the Aerospace Centre
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from 3D joint coordinates; 2) understanding wireless transmission (semantic communication) concept. The successful candidate will also need to visit our industrial partner in the UK and EU, to do
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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simulation tools such as MATLAB/Simulink. • Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation. • Proficiency in software development