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programme This project focuses on the application of digital health technology to study the contribution of sleep and circadian disturbance to brain function, neuropsychiatric symptoms and behaviour in people
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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collaboratively, with excellent communication and organisational skills. Has a strong interest in health innovation, prehospital care, or digital technologies How to apply Please apply with your CV and a covering
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Environment Research Council (NERC) at the University of Surrey. Accurately measuring greenhouse gas emissions from human activity is challenging. Static sensors only measure one point in space, but sensors
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project