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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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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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University to develop highly efficient batch reverse osmosis technology and apply it to industrial water reuse. As well as advancing the batch reverse osmosis process, the project is expected to integrate
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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Develop skills and networks to become a successful independent researcher, including through grant writing, independent papers, consulting, trainings The skills, qualifications and experience required
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ESRC funded centre brings together partners from across the UK in research, community, policy and civil society to develop and scale up successful community leadership approaches. This post is an
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for professional development. About the person: We are looking for a highly motivated researcher with a strong foundation in polymer processing and spectroscopy, and an interest in applying artificial intelligence
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of engaged research initiatives and of developing structures and systems in line with stakeholder requirements To be successful at shortlisting stage, please ensure you clearly evidence in your application how
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sociology, demography, criminology, social and medical statistics, public policy, and social policy. The College particularly welcomes applications from candidates who work or plan to work in the field of one
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global