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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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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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Deadline: 30 June 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
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mechanisms such as neural networks-like or sensors that will be implemented in robots so that the origami can act while avoiding obstacles or sense chemical/optical gradients in the environment, even though
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incorporating various friction models. You will conduct experiments with a physical rig to identify essential system parameters, friction characteristics, and actuator/sensor models. This process will not only
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of a corresponding physical twin based on historical and real-time sensors data. The comparison of physical and virtual data throughout product lifecycle can provide valuable information on the state
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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
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the results of which would be used to enrich the available experimental data in order to develop a Design for Manufacture and Performance concept based on machine learning algorithms where the required
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argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and experience
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This post is funded by the ‘Integrating quantum sensors with bespoke quantum error correction’ project supported by the Engineering and Physical Sciences Research Council (EPSRC). The task