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) are linear sugars that are displayed on all cells throughout the body as well as in the matrix. Like other glycans, they are not built against a defined template, and yet their structure is non-random, with
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be expected to conduct work which include computer simulations, software generation, literature searches, data analyses and drafting of reports. You will join an established team, led by Prof. Stam
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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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Glycosaminoglycans (GAGs) are linear sugars that are displayed on all cells throughout the body as well as in the matrix. Like other glycans, they are not built against a defined template, and yet their structure is
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. Previous experience of working in a similar customer-focused role is essential, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking
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of trials including studies evaluating pharmacological and non-pharmacological interventions, medical devices, and complex interventions. In addition, we conduct methodological work to improve the efficiency
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engineering and have or be in the process of obtaining a related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as
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outcomes. We have a broad, exciting and expanding portfolio of trials including studies evaluating pharmacological and non-pharmacological interventions, medical devices, and complex interventions. In
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for medical applications, micro-robotics, and materials science. PhD project description: The field of medical therapeutics has valuable applications for mobile devices for efficient drug delivery, called micro