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techniques (e.g. electron microscopy) will then be applied to assess the extent of material degradation in each case. Characterisation could include in-situ tensile testing coupled with digital image
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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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outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
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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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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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, including immunocytochemistry, Western blotting, and qPCR, alongside the application of microscopic imaging techniques. Responsibilities also include data collection, analysis, and presentation, as
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purification is desirable but not necessary. Candidates with physics and physical chemistry are encouraged to apply. Knowledge of coding and image analysis is desirable but not necessary. As well as supporting
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mixture ratio has an impact on the performance of the hybrid propellant propulsion system making it hard to optimise. Work at Kingston University has been on the development of imaging techniques using
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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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, cylinders, shells and various prototype two-dimensional and three-dimensional geometries. Such systems have potential applications to sensors, photonics, metamaterials, and displays. Applicants should have