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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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computer simulation methods to explore the mechanisms of ion conduction, selectivity and activation for ion channels that control neuronal signalling and brain function. Investigations may extend to how
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system quality) to operationalise the development process of such systems. A grand open challenge is to make these frameworks more complete by including new aspects such as fairness that are as important
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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limited to: Enhancing Small-Signal Stability in Inverter-Dominated Grids, Examining the effectiveness and uptake of electricity pricing mechanisms, Forecasting the future of indoor air, Role of storage in
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of our healthcare workforce is at crisis point. Working within emergency medicine is associated with traumatic events, or situations that may lead to moral injury, and adverse mental health outcomes