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Field
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system stability analysis and operation. Good understanding of control theory, especially system identification is expected. Good experimental or simulation skills are expected. Industrial experience is
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integration, and real-time optimisation, the project will ultimately help develop an adaptive system that helps pilots and controllers make smarter decisions mid-flight. The research will advance through three
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Project Supervisor - Dr Andrew Beekman A feature of tumours is immortality. This is achieved by overriding our natural ageing process. Our DNA has repeating units on the end that protect our DNA
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processing, advanced materials characterisation, control and bio-inspired materials/structures. The outcomes will contribute to the development of next-generation autonomous systems, advancing embedded sensing
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to the controls (Mason et al., 2023 Communications Biology). In this project, we aim to further optimise our OCE imaging platform and apply new methods (e.g. Quantitative Phase Imaging (QPI)) to expand
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, embedded systems, advanced implant probe design and signal processing. There are opportunities for students from a variety of backgrounds to work on the following possible projects: Bionic Vision
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to address urgent challenges in animal conservation and welfare. However, existing technologies have mostly been developed for use in controlled laboratory settings and are often unsuitable for field
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Experience in design and fabrication of devices and/or Soft Robots Experience in Material Testing/Characterization Basic knowledge of Control Theory Application Procedure Informal enquiries are encouraged and
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the optimization-based methods (doi.org/10.1016/j.apenergy.2020.116152 ), 3- Weakness of the model-predictive-control (MPC) against HESS’s parameters uncertainties, noises, and disturbances (doi.org/10.2514/6.2022
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engineers, concentrating activity and nutrient deposition around nests in ways that alter microclimate and plant communities. Processes such as ‘landscapes of fear’ affect where birds nest. This could