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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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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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is aimed at technical innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision
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and sustainable funding. The post holder will work alongside the Impact Alliance, including it’s ‘Understanding Impact’ sub-group, six ‘enabling organisations,’ and programme delivery ‘change maker
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programme delivery ‘change maker’ partners to co-produce an evaluation framework over the first three years of the programme. Four local areas (Stockwood, Somer Valley, Charfield and Mendip Villages) and two
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the underlying mechanisms leading to the epilepsies and associated comorbidities in each individual person. Our vision is to build upon the excellence and breadth of our research, seamlessly integrating basic and
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. The post will involve applying a range of spectroscopic techniques to new flow reactor designs developed at the University of Nottingham. The vision of the project is to apply continuous reactors, including
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related context, Robotics and autonomous systems, Computer vision, Embedded and Realtime Systems Knowledge in promoting group activities and Business development Experience of processing of data and
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the ESRC Smart Data Research UK programme (https://www.sdruk.ukri.org/ ). HASP enables high quality, novel and robust research utilising Smart Data. In collaboration with data and delivery partners, it