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-speed cameras (in a newly renovated lab dedicated to our research group). A significant component of the analysis will include image processing, including data-driven methods and machine learning. You
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-in-Place (CIP) systems, which often over-clean due to a lack of real-time fouling detection. Additionally, valuable post-process water is frequently discarded due to inadequate monitoring. This project
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given to computationally intensive components, including ordinary and stochastic differential equations, and non-parametric components like Gaussian Processes. The project builds on the following key
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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Ultrafast lasers drive innovations from quantum technology to medical imaging, yet controlling femtosecond pulses remains a major challenge. Metamaterials are artificial structures with
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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vivo imaging, histology, western and ELISA. You will also be required to be available when organs become available. Significant practical experience in NMP and knowledge of in vivo modelling would be a
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imaging using 3 Tesla MRI scanning to investigate brain biomarkers. Collaborate with clinical experts and patient groups, attend conferences and meet leading research experts. Project aims and objectives
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mitigation system. Understanding the process of droplet impact and freezing dynamics at high airspeeds, on textured and non-textured surfaces is critical to deciphering the physics behind ice adhesion and
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by thousands of genes and their interactions with environments and lifestyles. The research will take a new approach using data science and medical imaging to understand how biological age can be