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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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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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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB