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recruitment and analysis of a study examining how digital technology can diagnose COPD, including grant writing. We are looking for someone with a background in computer/data/mathematical science to be
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grant writing. We are looking for someone with a background in computer/data/mathematical science to be dedicated to a project to deliver digital technology, to predict lung health using individual level
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candidate will possess a PhD in Biological Sciences and will have skills in plant molecular biology, metabolomics and/or proteomics and experience in live cell imaging. They will also have demonstrated
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experience in geo-spatial analysis and working with remotely-sensed satellite imagery Demonstrable experience of image analysis (for example, using Google Earth Engine or PlanetScope) Experience of programming
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supervision. The researcher is expected to collaborate with members of the group, as well as with fellow researchers, graduate, and PhD students, and engage in cutting-edge projects at the intersection
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: Qualifications A good first degree in Electrical or Mechanical Engineering, or related subject. A PhD in Electrical or Mechanical Engineering, or related subject, related to the design / manufacture of electrical
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of the line manager. To design and develop novel and cutting-edge deep learning and image processing frameworks for automated species identification and environmental stress assessment, as well as frameworks