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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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language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial
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and benefits hinder progress. Gaps remain in our knowledge of how retrofitting interacts with health, behaviours, and regulatory frameworks. The INHABIT Hub was created to address these challenges. It
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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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. The successful candidate will join a large and diverse group of researchers covering nuclear structure physics, nuclear astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme
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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