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imaging, nanomedicine and cancer biology The opportunity to contribute to the clinical translation of molecular imaging technology developed by precision oncology company Ferronova 3.5 years funding
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testing and assessment of device-assisted aerosol delivery under clinically relevant operating conditions. Data processing, image analysis, uncertainty assessment and experimental interpretation using
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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engineering Biological sciences » Laboratory animal science Medical sciences » Health sciences Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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the Department of Materials Science and Engineering within the Faculty of Engineering. Project title: Processing intelligence for green metals using in situ X-ray characterisation and machine learning. We