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Field
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. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
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datasets, and validating algorithms using state-of-the-art imaging platforms at STFC’s Central Laser Facility. The research has the potential to transform how scientists study cancer, neurological disorders
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contribute to research on secure and efficient AI for embedded cyber-physical power electronic systems. The main activities include: Analyzing how disturbances or cyberattacks, such as sensor manipulation
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engagement—particularly within ESG disclosures—its implementation is currently challenged by ethical concerns regarding data privacy, algorithmic bias, and cultural resistance. This project aims to contribute
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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translational potential. Key tasks and responsibilities Design and fabricate microneedle-based transdermal delivery systems Develop and characterize electrochemical sensors for L-DOPA detection Engineer and test
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Rare-earth permanent magnets underpin modern life. From electric motors and wind turbines to medical imaging, sensors, and consumer electronics, Neodymium-Iron-Boron (NdFeB) magnets are essential
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good understanding of sensor selection and instrumentation is essential. You will need to be pro-active, organised, and able to work well with technicians and laboratory support staff. Funding
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environment to support agricultural decision making with advanced remote sensing and geospatial technologies. Responsibilities: Develops advanced Agro-geoinformatic algorithms for monitoring and predicting
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data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects for national and international