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: 30 June 2025 Details Join a project that will combine physics, machine learning, and ultrasonics to design new sensors for the digital revolution in industry. Ultra-thin membranes are produced in many
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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, wave equations, and beam equations, to model and understand different physical systems and their unique challenges. Sensor and Actuator Analysis: Examine and evaluate the sensors and actuators available
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approaches use sensor measurements to deduce tool wear via an empirically determined correlation between the tool wear and sensor data. This has lower complexity and is more suitable for real-time TCM
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algorithms. These algorithms act as perfect digital lenses, with no image degradation from aberrations, and provide a fantastically detailed, information-rich view of any sample being imaged. Applications
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participate in developing algorithms for tau lepton identification, and will also have the opportunity to assist with silicon module construction for the ATLAS tracker upgrade. Instructions for applying can be
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f dendrimers and their functionalisation to generate systems that can be applied as selective protein ligands and sensors for use in purification and target specific drug delivery We have also been
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spatial planning and urban cooling strategies using advanced simulations and AI-driven solutions. 3 Digital Environmental and Urban Planning · Applying digital twins, mobile sensors, and data science
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face. The project’s focus is to: Conduct cutting-edge experiments to investigate how surface texture affects seal performance and explore the use of an ultrasonic sensor for real-time monitoring
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accepted all year round Details Would you like to develop novel semiconductor infrared sensors for real-world applications, while working closely with leading academics on this topic? We are looking for a