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Field
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image analysis alongside in vitro testing methodologies to examine the biomechanical performance of interventions and how they vary with anatomical and tissue characteristics. You will have a background
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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
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brightfield/darkfield optical microscopy and spectroscopy, optical lithography/patterning, hyperspectral imaging, photocurrent measurements, and sensor characterisation with suitable readout electronics
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brightfield/darkfield optical microscopy and spectroscopy, optical lithography/patterning, hyperspectral imaging, photocurrent measurements, and sensor characterisation with suitable readout electronics
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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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device longevity (37million cardiac cycles per year!), whilst ensuring optimal cardiovascular function for the patient. This project proposes to integrate state-of-the-art image-based measurement
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(37 million cardiac cycles per year!) and optimal cardiovascular function. This project aims to integrate advanced image-based measurement techniques with computational models for a comprehensive
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data, such as images, sounds, and tactile information. This project is to embed the intelligence into the robotics system. We expect the robot can conduct the inspection autonomously without human
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combination of overseas field work (Europe and other locations), image based and laboratory work to characterise soil properties to address the questions above. The imaging work will be a combination of GIS
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at the Sutton Bonington Campus at Nottingham, the project will involve a combination of overseas field work (Europe and other locations), image based and laboratory work to characterise soil properties to address