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. The project will include industrial collaboration for extensive fieldwork at a variety of sites in southeast England, and the Ebro Delta in Spain. This post is available immediately, and is required to end in
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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living with dementia. The successful candidate will work across a variety of tasks and research methods to evaluate or develop and implement technology for longitudinal assessment in the home environment
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of this project is to develop innovative and practical approaches for real-time welfare monitoring and early detection of disease in poultry systems, using acoustic and images combined with artificial intelligence
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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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physics group at Surrey and their main contacts will be Prof. Daniel Doherty and Prof. Gavin Lotay. Interviews will be held on Monday 22nd of September. Surrey provides a range of training and development
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helping ensure that our research reflects real-world user perspectives. Collaborating with the project team and contributing to the development of operational protocols and communication systems for drone
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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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, charities, as well as other universities and research institutes across the UK and internationally. The overall programme of research will be jointly developed by Prof. Nophar Geifman and the person appointed
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aims to become a global centre of excellence, generating evidence and policy solutions to support a health-centred net zero housing transition. Objectives include developing systems-level understanding