8 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" Fellowship positions at University of Surrey
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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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have developed some of the most remarkable morphological systems on the planet, where simultaneous manipulation of multiple phonological features (vowel length, vowel height, tone, phonation type
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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 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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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
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. They will be responsible for conducting literature reviews, obtaining governance approvals, developing, testing and validating surveys, collecting and analysing (quantitative and qualitative) data, working